{"id":"W4412685913","doi":"10.1503/cmaj.250372","title":"People seeking abortion care","year":2025,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Abortion; Computer science; Data science; Medicine; World Wide Web; Pregnancy; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033542,0.00009670242,0.0002334183,0.001277982,0.003321856,0.001413545,0.000319449,0.0008751362,0.03161939],"category_scores_gemma":[0.002193571,0.0001790761,0.0003526164,0.002616052,0.0005408162,0.001389933,0.0008435915,0.001584627,0.002475457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016727,"about_ca_system_score_gemma":0.004341061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3783487,"about_ca_topic_score_gemma":0.6104925,"domain_scores_codex":[0.999404,0.00007039036,0.00002932231,0.00004193664,0.0001515572,0.000302817],"domain_scores_gemma":[0.9984899,0.0001342137,0.0002522235,0.00002268165,0.0002350107,0.0008659952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001548334,0.0002860341,0.7464227,0.0003765106,0.00006410022,0.0009157225,0.03524178,0.00003666381,0.0005255098,0.006705006,0.111769,0.09750214],"study_design_scores_gemma":[0.00002940656,0.00007969359,0.8287804,0.0004654164,0.00005169644,0.0007014929,0.07149988,0.00004660466,0.00005305437,0.001125713,0.0971346,0.00003214267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7773513,0.01066478,0.0001016679,0.05790687,0.0009463909,0.0001204003,0.006355407,0.00002576419,0.1465274],"genre_scores_gemma":[0.9271836,0.009946069,0.0001629463,0.02829598,0.0003359701,0.00008657477,0.001636916,0.00001578887,0.03233621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6216513,"threshold_uncertainty_score":0.752293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007722519743917061,"score_gpt":0.2766510523898441,"score_spread":0.268928532645927,"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."}}