{"id":"W4410906214","doi":"10.63149/j.pedint.37","title":"Prescribir películas para entender la adopción y el acogimiento","year":2025,"lang":"es","type":"article","venue":"Pediatría Integral","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006523004,0.0003795374,0.0003850809,0.0002480458,0.0005507226,0.0004615744,0.0006157299,0.0004040156,0.0006622041],"category_scores_gemma":[0.0004282287,0.0003481936,0.0004367444,0.0007756219,0.0004595862,0.0004062252,0.0002223818,0.0006321595,0.0004614879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002119095,"about_ca_system_score_gemma":0.0004312197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003959282,"about_ca_topic_score_gemma":0.0008606687,"domain_scores_codex":[0.997143,0.0004007617,0.0004792113,0.0006325376,0.0006204326,0.0007240751],"domain_scores_gemma":[0.9987387,0.0002733661,0.0001682685,0.0004013959,0.0002046221,0.0002136325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002422936,0.001229671,0.1353781,0.0003268396,0.0003035148,0.0000493394,0.0124574,0.0000429613,0.0002107636,0.6673222,0.1234367,0.05900021],"study_design_scores_gemma":[0.001366031,0.00016206,0.1734565,0.0004213209,0.0005301413,0.00000418607,0.009891983,0.0002510413,0.0002147732,0.01486665,0.7980186,0.0008166339],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5243418,0.00321804,0.0009606748,0.02299718,0.004969465,0.0008846672,0.0001191884,0.0003941054,0.4421149],"genre_scores_gemma":[0.9808791,0.002402318,0.0001233142,0.0009350037,0.001822261,0.00003597558,0.00004048678,0.00002534393,0.01373623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6745819,"threshold_uncertainty_score":0.999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0158822245086339,"score_gpt":0.3475541338032754,"score_spread":0.3316719092946415,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}