{"id":"W2424687452","doi":"","title":"Accessibility of Abortion in Canada: Geography as a Barrier to Access in Ontario and Quebec","year":2016,"lang":"en","type":"article","venue":"Inquiries Journal","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Abortion; Geography; Human geography; Regional science; Economic geography; Political science; Pregnancy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002069075,0.0002985434,0.0007406337,0.003017397,0.006380232,0.004337633,0.002426197,0.001060734,0.005448678],"category_scores_gemma":[0.01050242,0.0005026595,0.0009894294,0.01117381,0.002150609,0.001316453,0.002585798,0.001644454,0.0002410629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1171787,"about_ca_system_score_gemma":0.1680613,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9996272,"about_ca_topic_score_gemma":0.9997998,"domain_scores_codex":[0.9966197,0.0005664485,0.0002840231,0.0003172377,0.0008574278,0.001355079],"domain_scores_gemma":[0.9852592,0.002415454,0.002868088,0.0003641992,0.005657743,0.003435289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000204028,0.000118373,0.9441329,0.0003705086,0.0001817401,0.0005639032,0.01981733,0.0008020143,0.0001779779,0.004354422,0.01079992,0.01847681],"study_design_scores_gemma":[0.00002085625,0.00002456869,0.9673798,0.000359818,0.00008356578,0.0001010722,0.02176994,0.0008614801,0.00008088728,0.0002732319,0.008993343,0.00005142234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584363,0.004938502,0.0004727036,0.009464288,0.00006291953,0.0002261974,0.01315242,0.00004026031,0.01320648],"genre_scores_gemma":[0.9904882,0.002154089,0.0005091226,0.0005788796,0.00002016396,0.00008171187,0.001790324,0.00001916117,0.004358453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1171787,"threshold_uncertainty_score":0.8501951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435283833357711,"score_gpt":0.3231174224326383,"score_spread":0.2987645840990612,"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."}}