{"id":"W2767501062","doi":"10.1136/bmj.j5098","title":"The global abortion policies database: knowledge as a health intervention","year":2017,"lang":"en","type":"article","venue":"BMJ","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Abortion; Intervention (counseling); Database; Medicine; Computer science; Pregnancy; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006242865,0.0007242085,0.001496368,0.01401173,0.0004941553,0.004168989,0.001818107,0.00182283,0.03059274],"category_scores_gemma":[0.05823775,0.0006609742,0.001110713,0.02074837,0.0004640947,0.003829837,0.003068681,0.001850196,0.00931402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003035916,"about_ca_system_score_gemma":0.009570707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02163275,"about_ca_topic_score_gemma":0.02561081,"domain_scores_codex":[0.9949415,0.001383475,0.001959217,0.0003251255,0.001104424,0.0002860943],"domain_scores_gemma":[0.9492324,0.0279496,0.009836456,0.003583014,0.0051845,0.004213989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001074016,0.0002358239,0.04653711,0.01060663,0.000682663,0.00008034868,0.0004092923,0.001212538,0.0001948341,0.005429654,0.8121756,0.1213615],"study_design_scores_gemma":[0.001422473,0.0001336512,0.1270421,0.006197455,0.001117501,0.00020354,0.001027874,0.001630983,0.000851115,0.006977175,0.8532754,0.0001208074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004162337,0.002296269,0.0006536816,0.003554773,0.0001337288,0.0002225058,0.9818031,0.0004886799,0.006685036],"genre_scores_gemma":[0.044805,0.007008827,0.008175408,0.003074436,0.0003929058,0.002274902,0.9304424,0.0004155859,0.003410572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03059274,"threshold_uncertainty_score":0.1023429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03841347017577826,"score_gpt":0.4503437069430954,"score_spread":0.4119302367673172,"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."}}