{"id":"W2731807741","doi":"","title":"Increasing VBAC rates by implementing the CAesarean section REduction (CARE) Strategy","year":2012,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Ottawa","keywords":"Caesarean section; Reduction (mathematics); Section (typography); Medicine; Obstetrics; Computer science; Pregnancy; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002159561,0.0003286197,0.0003131539,0.0007326786,0.0004053792,0.000631674,0.0008144368,0.0008203404,0.008653319],"category_scores_gemma":[0.01086729,0.0001622069,0.0005322734,0.0005599756,0.0002625135,0.0003354118,0.0008964344,0.0009938527,0.0005572618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002117488,"about_ca_system_score_gemma":0.01107092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05597162,"about_ca_topic_score_gemma":0.09002941,"domain_scores_codex":[0.9983885,0.0006510619,0.0001022182,0.0001141562,0.0004103546,0.0003336392],"domain_scores_gemma":[0.9967209,0.001134217,0.0006479457,0.0001749633,0.0005588151,0.000763237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00139065,0.007211534,0.129151,0.001219552,0.0003141421,0.0002981786,0.001208772,0.005432987,0.005851808,0.005162819,0.02635419,0.8164044],"study_design_scores_gemma":[0.001759029,0.01075997,0.8993378,0.001898272,0.001275463,0.001061531,0.003307778,0.01443564,0.007881599,0.004310019,0.05387771,0.00009524915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8647367,0.004966733,0.01036486,0.04933578,0.0009311922,0.001935939,0.001116005,0.0006326286,0.06598011],"genre_scores_gemma":[0.9660383,0.00281759,0.0193707,0.00600792,0.0003182168,0.0004647331,0.0004172232,0.00003254782,0.00453278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05597162,"threshold_uncertainty_score":0.1112916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09285712146631764,"score_gpt":0.4039955735706905,"score_spread":0.3111384521043729,"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."}}