tipo impacto, tipo estudio, variable dependiente, limitaciones
Automate extraction for "tipo impacto, tipo estudio, variable dependiente, limitaciones". Extract structured, evidence-grounded data points directly from hundreds of papers with source page coordinates.
Schema Field Definitions (10)
| Field Name | Data Type | Description |
|---|---|---|
| impact_type | string | The category of impact analyzed in the research. Must be one of: Social, Economic, Environmental, Health, Policy, Technological. |
| study_type | string | The specific research methodology or design utilized. Must be one of: Randomized Controlled Trial, Quasi-experimental, Cross-sectional, Longitudinal, Case Study, Meta-analysis, Systematic Review. |
| dependent_variable_name | string | the name of the primary dependent variable or outcome measured. Example: 'annual_revenue' or 'blood_glucose_level'. |
| dependent_variable_value | number | The numerical result or effect size reported for the primary dependent variable. |
| dependent_variable_value_unit | string | The unit of measurement for the dependent variable value. Use standardized units such as 'percentage', 'mg/dL', or 'USD'. Example: 'percentage'. |
| is_statistically_significant | boolean | Indicates whether the primary result for the dependent variable was statistically significant (typically p < 0.05). Must be true or false. |
| sample_size | number | The total number of subjects, participants, or observations in the study sample. |
| sample_size_unit | string | The unit of the sample size. Example: 'participants', 'cells', 'households', 'countries'. |
| study_limitations | string | A concise description of the limitations of the study as identified by the authors. Example: 'small_sample_size'. |
| doi | string | The Digital Object Identifier (DOI) or a full bibliographic reference for the source paper. |
Data Verification Status Taxonomy
To maintain rigorous scientific standards, Sci-database differentiates between automated signals and human audit:
Value located and extracted from the full-text PDF by the Kateeb engine.
An independent second model produced a compatible value during automated second-pass review.
A named researcher audited the value against the visual page coordinates.
Performance evaluated against a standardized, published evaluation protocol.
An independent external research group reproduced the extraction and experimental result.
