{"id":"W2562163058","doi":"","title":"Missing paternal data and adverse birth outcomes in Canada.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Statistics Canada; McGill University; McGill University Health Centre","funders":"","keywords":"Demography; Medicine; Multiple birth; Parity (physics); Gestational age; Premature birth; Missing data; Obstetrics; Singleton; Marital status; Cohort study; Live birth; Pregnancy; Population; Statistics; Environmental health; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00294341,0.0002975307,0.0004701754,0.001370477,0.002764836,0.001254657,0.001374577,0.0004405784,0.002918617],"category_scores_gemma":[0.01176055,0.0003880408,0.0006008407,0.004297271,0.0007791675,0.0004019634,0.00111103,0.00122983,0.0001927002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01811375,"about_ca_system_score_gemma":0.04933844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904862,"about_ca_topic_score_gemma":0.9886619,"domain_scores_codex":[0.997211,0.0003774744,0.0002019241,0.0004111497,0.001273814,0.0005245766],"domain_scores_gemma":[0.9913099,0.001111277,0.003077845,0.0004491203,0.002933194,0.001118709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001101907,0.00001281684,0.9852072,0.0001459879,0.0001139907,0.0001592477,0.0004645986,0.0002501713,0.00004570086,0.0005083019,0.003257033,0.009724688],"study_design_scores_gemma":[0.0000153717,0.00002133274,0.9933698,0.0002648309,0.00009646818,0.0003044762,0.0005027195,0.0008787847,0.00009437866,0.0003538444,0.004079566,0.00001845406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968452,0.01859201,0.002239845,0.008955621,0.0002518574,0.0001145464,0.06376418,0.00009905267,0.009137665],"genre_scores_gemma":[0.9841277,0.004220313,0.001126922,0.0004424274,0.00003457744,0.00002980272,0.007963406,0.00002228293,0.002032518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01811375,"threshold_uncertainty_score":0.1314251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976988970309194,"score_gpt":0.2470943819372051,"score_spread":0.2173244922341132,"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."}}