{"id":"W4388776104","doi":"10.1097/01.ogx.0000996792.00259.d6","title":"County-Level Maternal Vulnerability and Preterm Birth in the US","year":2023,"lang":"en","type":"article","venue":"Obstetrical & Gynecological Survey","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Medicine; Vulnerability (computing); Poverty; Environmental health; Gestation; Premature birth; Obstetrics; Demography; Pregnancy; Economic growth","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":[0.0003341543,0.00009723253,0.0001688958,0.0006193712,0.0004111179,0.0004069147,0.0002532495,0.0002734486,0.002687959],"category_scores_gemma":[0.001862961,0.0001699429,0.000308501,0.001261984,0.00015241,0.0002239149,0.0005695565,0.0004085088,0.0002426498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003718439,"about_ca_system_score_gemma":0.0005358789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1124949,"about_ca_topic_score_gemma":0.1599931,"domain_scores_codex":[0.9997987,0.00007138311,0.00002170612,0.00004051187,0.00002685163,0.00004089277],"domain_scores_gemma":[0.9990783,0.0002122468,0.0003024165,0.00006190516,0.0001296278,0.0002155744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000421206,0.00002369042,0.9964467,0.00001425623,0.00007390576,0.00003658743,0.0001007883,0.00008692869,0.00003175514,0.00007360941,0.001742255,0.001327535],"study_design_scores_gemma":[0.000004880624,0.0000207253,0.9985664,0.00002754768,0.0000439963,0.00005111503,0.0003504597,0.0002668762,0.0000179374,0.00006421168,0.0005821218,0.000003773768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992702,0.0009375924,0.00008954604,0.0005399223,0.00002821249,0.000005437148,0.00399622,0.00001111985,0.001690027],"genre_scores_gemma":[0.998264,0.0003804904,0.00006034341,0.00006219825,0.00001170267,0.000007403374,0.0008985111,0.000003007563,0.0003125436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1124949,"threshold_uncertainty_score":0.2236803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07510678773904125,"score_gpt":0.309574139552196,"score_spread":0.2344673518131547,"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."}}