{"id":"W2167413090","doi":"10.1136/jech.2003.019109","title":"Performance profile of an outcome measure: morbidity assessment index for newborns","year":2005,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fondation pour la Recherche Médicale; University of Alberta","keywords":"Medicine; Gestation; Population; Pediatrics; Gestational age; Pregnancy; Obstetrics; Birth weight; Caesarean section; Medical record; Prenatal care; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01007527,0.0008145793,0.0009553973,0.003453464,0.0003764905,0.000892952,0.0006857641,0.0005773038,0.00111309],"category_scores_gemma":[0.03241161,0.00015334,0.001297622,0.002533109,0.000476741,0.0006566177,0.001225731,0.0006278391,0.0004765572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000912602,"about_ca_system_score_gemma":0.001176412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001445085,"about_ca_topic_score_gemma":0.001517006,"domain_scores_codex":[0.99066,0.004112535,0.001601578,0.0006282064,0.002683145,0.0003144307],"domain_scores_gemma":[0.9748186,0.008557595,0.01031294,0.000952384,0.004128787,0.001229697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003059524,0.00005086244,0.9803191,0.0001243706,0.0001862234,0.00002491123,0.00007022017,0.0004878919,0.0002024099,0.0001053154,0.0007311041,0.01739158],"study_design_scores_gemma":[0.00002933491,0.0007189744,0.9954575,0.00007794352,0.00007055121,0.0002495565,0.00007957471,0.001624767,0.000452975,0.0001540422,0.001066907,0.00001773379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540682,0.003798971,0.01769167,0.0007069294,0.0002494454,0.0009336818,0.01218948,0.0002243214,0.0101372],"genre_scores_gemma":[0.9803094,0.0005018888,0.0104713,0.0001175056,0.0001186615,0.0007544791,0.007234388,0.00002336825,0.0004692349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007527,"threshold_uncertainty_score":0.05328375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3362518200098414,"score_gpt":0.5546991104134182,"score_spread":0.2184472904035769,"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."}}