{"id":"W2094995691","doi":"10.1111/j.1365-3016.2008.00937.x","title":"The impact of past pregnancy experience on subsequent perinatal outcomes","year":2008,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Pregnancy; Medicine; Obstetrics; Logistic regression; Offspring; Context (archaeology); Weight gain; Epidemiology; Gestation; Population; Gestational age; Gynecology; Demography; Environmental health; Body weight; 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":[0.00433761,0.0003471169,0.000417899,0.0009615889,0.0005767967,0.001490636,0.0009181226,0.0004750127,0.002166818],"category_scores_gemma":[0.02054431,0.0002563577,0.0008611637,0.001011095,0.001091136,0.001038419,0.001136931,0.0009774198,0.0001803551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007986561,"about_ca_system_score_gemma":0.0008916992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02869598,"about_ca_topic_score_gemma":0.03457998,"domain_scores_codex":[0.9971128,0.001866199,0.0001657828,0.00032358,0.0002722796,0.0002593471],"domain_scores_gemma":[0.9888727,0.006297137,0.002598755,0.0009641499,0.0005179666,0.0007493484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008021132,0.00003598861,0.9911979,0.00004004354,0.000213997,0.0001294547,0.0004211254,0.0002523885,0.00009932198,0.0003345951,0.00007551184,0.007119506],"study_design_scores_gemma":[0.000001264912,0.00013264,0.9982204,0.00003834831,0.00009567837,0.0002258996,0.0003204141,0.0004226551,0.00005874102,0.0002492947,0.0002258617,0.000008833368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904385,0.003428092,0.001351279,0.0007414815,0.00005035493,0.0000267845,0.0005769242,0.00001210363,0.003374586],"genre_scores_gemma":[0.998216,0.0008102155,0.000436736,0.00004317111,0.00002274074,0.000009838327,0.0001488592,0.000003671241,0.000308785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02869598,"threshold_uncertainty_score":0.05705786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06057605051604691,"score_gpt":0.3738528782015927,"score_spread":0.3132768276855458,"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."}}