{"id":"W2095355773","doi":"10.1097/01.ede.0000158789.34793.1b","title":"Birth Weight and Intima-Media Thickness","year":2005,"lang":"en","type":"letter","venue":"Epidemiology","topic":"Birth, Development, and Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; Institute for Clinical Evaluative Sciences","keywords":"Confounding; Statistics; Univariate; Path analysis (statistics); Econometrics; Mathematics; Medicine; Demography; Multivariate statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004043207,0.002059365,0.001998771,0.001349154,0.0008658799,0.002168515,0.00284186,0.006725878,0.006857004],"category_scores_gemma":[0.02201003,0.0008887795,0.001196703,0.001102936,0.001197376,0.002280887,0.0007357755,0.009458084,0.002964152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009512061,"about_ca_system_score_gemma":0.001023988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001984878,"about_ca_topic_score_gemma":0.002208293,"domain_scores_codex":[0.9981843,0.0004646977,0.0003142362,0.0003663224,0.0005420357,0.0001284028],"domain_scores_gemma":[0.984796,0.009381157,0.001209705,0.0004257679,0.003477887,0.0007094487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001117551,0.0001351209,0.005747566,0.00213044,0.0004607129,0.002046532,0.0001159343,0.0001539968,0.0003865919,0.0008267287,0.9397635,0.04711536],"study_design_scores_gemma":[0.0008446331,0.0007094328,0.04778017,0.005681037,0.002276403,0.008986273,0.0004664147,0.003039978,0.0022164,0.006298752,0.9214906,0.0002099519],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.003786196,0.04889422,0.0005757858,0.2892691,0.6548584,0.00004434857,0.0006880324,0.0001116036,0.001772283],"genre_scores_gemma":[0.02058008,0.02257648,0.0005891459,0.1216487,0.8288818,0.00004011475,0.0002584083,0.00007167047,0.005353625],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.006857004,"threshold_uncertainty_score":0.02293897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0577506347156855,"score_gpt":0.3345513278717226,"score_spread":0.2768006931560371,"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."}}