{"id":"W2108620857","doi":"10.1186/1471-2393-3-3","title":"A parsimonious explanation for intersecting perinatal mortality curves: understanding the effect of plurality and of parity","year":2003,"lang":"en","type":"article","venue":"BMC Pregnancy and Childbirth","topic":"Birth, Development, and Health","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McGill University; Health Canada; Dalhousie University","funders":"National Institute of Child Health and Human Development; National Institutes of Health; Canadian Institutes of Health Research; Dalhousie University","keywords":"Medicine; Gestational age; Obstetrics; Birth weight; Infant mortality; Low birth weight; Pregnancy; Gestation; Singleton; Parity (physics); Multiple birth; Mortality rate; Population; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01023381,0.0007788838,0.001006432,0.003436025,0.0008673766,0.003102077,0.003950571,0.002546169,0.005250937],"category_scores_gemma":[0.05756585,0.0004032103,0.001762791,0.001484725,0.006315256,0.005224946,0.002902261,0.002401864,0.0004962362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159496,"about_ca_system_score_gemma":0.0016601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00691078,"about_ca_topic_score_gemma":0.002894145,"domain_scores_codex":[0.9974868,0.001327538,0.00009902869,0.0004483374,0.0003881721,0.0002500941],"domain_scores_gemma":[0.9725106,0.01902537,0.003016462,0.002887369,0.001503624,0.001056605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00108807,0.0002447053,0.3478685,0.0005447757,0.0005120302,0.002408181,0.007043189,0.01974687,0.001148296,0.5248407,0.007118135,0.08743656],"study_design_scores_gemma":[0.0001986808,0.0002911722,0.09058433,0.0001932493,0.0002120642,0.001979353,0.002723578,0.05604785,0.0002795181,0.8424614,0.004923971,0.0001047792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6144008,0.008664583,0.2786819,0.06868908,0.0006524578,0.0003299729,0.001458463,0.0006248744,0.02649791],"genre_scores_gemma":[0.9843612,0.0009212794,0.01206127,0.001375177,0.0002756234,0.00007673277,0.0002342813,0.00004433428,0.0006500898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01023381,"threshold_uncertainty_score":0.05412215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05334457820749075,"score_gpt":0.3167739167214474,"score_spread":0.2634293385139567,"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."}}