{"id":"W2267172912","doi":"10.1093/aje/kwv165","title":"Association Between Unintentional Injury During Pregnancy and Excess Risk of Preterm Birth and Its Neonatal Sequelae","year":2015,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Pregnancy-related medical research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency of Canada","keywords":"Medicine; Gestational age; Respiratory distress; Obstetrics; Pregnancy; Odds ratio; Population; Birth weight; Pediatrics; Cohort study; Confidence interval; Small for gestational age; Fetal distress; Fetus; Anesthesia; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003118936,0.0001269355,0.0009397379,0.0002475863,0.00003732858,0.000002797229,0.0001180464,0.0001415573,0.0000234045],"category_scores_gemma":[0.03230382,0.00009696783,0.00009548775,0.0002086297,0.0004700057,0.0001413967,0.0001100843,0.0008706468,0.000001993518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001817858,"about_ca_system_score_gemma":0.0002876444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006964393,"about_ca_topic_score_gemma":0.000002733062,"domain_scores_codex":[0.9970729,0.001107472,0.0008899031,0.0001946244,0.0003746073,0.0003604817],"domain_scores_gemma":[0.9946307,0.0025294,0.001548722,0.0001232572,0.0005440673,0.0006238451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004475387,0.0000270132,0.9310102,0.00009099153,0.0005840044,0.00005133902,0.000252538,0.000004031878,0.0003755247,0.00008723045,0.00009890322,0.06697069],"study_design_scores_gemma":[0.003112055,0.004097409,0.9828783,0.004101438,0.000434923,0.0005648325,0.0003063419,0.0002339141,0.0006324056,0.003142186,0.0003543711,0.0001417915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811138,0.01613624,0.0005817707,0.00180094,0.00008950015,0.0001366704,0.00003728822,0.000008133251,0.00009568313],"genre_scores_gemma":[0.985173,0.01306978,0.001310087,0.00006983971,0.0001543379,0.000003001039,0.000005716892,0.0000141432,0.0002001021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0668289,"threshold_uncertainty_score":0.9758475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05136477587799177,"score_gpt":0.3681333548959519,"score_spread":0.3167685790179601,"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."}}