{"id":"W2160692157","doi":"","title":"Maternity care in Canada: what can we deliver?","year":2010,"lang":"en","type":"article","venue":"PubMed","topic":"Child and Adolescent Health","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pager; Maternity care; Medicine; Medical emergency; Computer science; Pregnancy; Telecommunications; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002261813,0.0001014007,0.0001670816,0.00005144501,0.0002356278,0.00001129233,0.0001544266,0.00009535205,0.0001312219],"category_scores_gemma":[0.00005215468,0.00008933627,0.00001879917,0.0001007211,0.00001485024,0.0001027187,0.0000715807,0.0009425686,0.0000237417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008870735,"about_ca_system_score_gemma":0.001658123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9071305,"about_ca_topic_score_gemma":0.9991181,"domain_scores_codex":[0.9984918,0.0001391558,0.0002768053,0.0001907484,0.0001676884,0.0007338627],"domain_scores_gemma":[0.9992425,0.0000746947,0.00007754713,0.0002390075,0.00005710485,0.0003090816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002138612,0.00001629325,0.767763,0.0002901763,0.000002582614,0.00001607526,0.003336551,7.933522e-7,0.000004606336,0.00009417754,0.002759567,0.2256948],"study_design_scores_gemma":[0.0004800508,0.000001848745,0.9641953,0.00009556324,0.000002591442,6.707622e-7,0.009898323,0.000003793612,0.00002185741,0.00003424525,0.02517068,0.00009505681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877809,0.0003862398,1.793444e-7,0.006431125,0.003148323,0.001021246,0.00004681773,0.00003405224,0.001151154],"genre_scores_gemma":[0.9948419,0.0003305814,0.000007940353,0.003921977,0.0003687583,0.0001285022,0.00001591595,0.00001522774,0.0003691353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2255998,"threshold_uncertainty_score":0.4095044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152958574499948,"score_gpt":0.2992981738871122,"score_spread":0.2677685881421127,"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."}}