{"id":"W3200511830","doi":"10.1111/birt.12591","title":"The impact of family physicians in rural maternity care","year":2021,"lang":"en","type":"article","venue":"Birth","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cascades (Canada)","funders":"","keywords":"Maternity care; Medicine; Family medicine; Rural area; Population; Pregnancy; Nursing; Environmental health","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":[0.001470092,0.0001450003,0.00008178312,0.0003741439,0.0009788414,0.0005818761,0.0003995721,0.0004343164,0.003356026],"category_scores_gemma":[0.006060333,0.000140594,0.0001570463,0.0005354214,0.0008287327,0.0005229042,0.001261371,0.0005839529,0.0002428014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594645,"about_ca_system_score_gemma":0.003370506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02944685,"about_ca_topic_score_gemma":0.04035955,"domain_scores_codex":[0.9982312,0.0008831612,0.00006181546,0.0001009746,0.0002736501,0.0004491935],"domain_scores_gemma":[0.9937046,0.001347677,0.002679908,0.0001054586,0.0004694825,0.001692951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004085528,0.0001266633,0.9785526,0.00009663222,0.00002450488,0.0003829266,0.003299509,0.0002485983,0.0002513002,0.0003379147,0.002396455,0.01424187],"study_design_scores_gemma":[0.00001521428,0.0002219911,0.9827827,0.0001948268,0.00001404047,0.0006024123,0.01010638,0.0002424508,0.00007585857,0.0002602358,0.005477458,0.000006374583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900518,0.0008220306,0.0001248747,0.005354987,0.00002615257,0.00001706067,0.0001735809,0.000005281682,0.003424127],"genre_scores_gemma":[0.998404,0.0004587028,0.0001168877,0.0007306153,0.00002566865,0.00001226608,0.00005052605,0.00000127268,0.0002001132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02944685,"threshold_uncertainty_score":0.05855089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583152825704816,"score_gpt":0.4419015358106929,"score_spread":0.4060700075536447,"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."}}