{"id":"W4282928118","doi":"10.1097/01.aog.0000826280.53784.1b","title":"The ARRIVE Effect: What Do the Real-World Data Show? [A251]","year":2022,"lang":"en","type":"article","venue":"Obstetrics and Gynecology","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Birth certificate; Quarter (Canadian coin); Gestational age; Gestation; Obstetrics; Pregnancy; Population","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04500149,0.001161602,0.004146692,0.002059264,0.00103623,0.006230054,0.002935799,0.004832067,0.02804363],"category_scores_gemma":[0.205615,0.001163686,0.0111761,0.004090835,0.00193624,0.004621709,0.002063778,0.005361636,0.004594413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768192,"about_ca_system_score_gemma":0.0042971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009434559,"about_ca_topic_score_gemma":0.01042657,"domain_scores_codex":[0.9500342,0.03586891,0.004659113,0.002721008,0.005433607,0.001283094],"domain_scores_gemma":[0.7863239,0.1538434,0.03244473,0.01044228,0.01334811,0.003597561],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.07429161,0.0007535234,0.07474814,0.05564404,0.07447429,0.0005046292,0.001386572,0.001866948,0.0004052853,0.01621326,0.4964607,0.203251],"study_design_scores_gemma":[0.05638569,0.008642077,0.2270724,0.063054,0.1052895,0.0007124041,0.001991628,0.00296766,0.0009809383,0.02324331,0.5087836,0.000876853],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0543632,0.5639691,0.005519309,0.2124973,0.04368646,0.00186662,0.0775956,0.0008766906,0.03962575],"genre_scores_gemma":[0.5023213,0.1370495,0.01092367,0.2436204,0.059786,0.003814418,0.02893461,0.001080737,0.01246951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9549985,"threshold_uncertainty_score":0.2379935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04428499526172276,"score_gpt":0.3488557910228042,"score_spread":0.3045707957610815,"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."}}