{"id":"W3081059304","doi":"10.1002/dmrr.3397","title":"Machine learning risk score for prediction of gestational diabetes in early pregnancy in Tianjin, China","year":2020,"lang":"en","type":"article","venue":"Diabetes/Metabolism Research and Reviews","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Gestational diabetes; Pregnancy; China; Diabetes mellitus; Medicine; Obstetrics; Gestation; Endocrinology; Geography; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001371866,0.0004740949,0.0004140492,0.001337816,0.0002085991,0.0005415611,0.00050681,0.0003540895,0.0007260678],"category_scores_gemma":[0.00281814,0.0001663082,0.0006579492,0.0009223059,0.0001787153,0.0002849191,0.0004016386,0.0004753835,0.0001773028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006096413,"about_ca_system_score_gemma":0.001001622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01858348,"about_ca_topic_score_gemma":0.01269872,"domain_scores_codex":[0.9996892,0.0001000664,0.00003570196,0.00008373754,0.00005220788,0.00003903245],"domain_scores_gemma":[0.9993792,0.0002137568,0.0001739822,0.00005361129,0.00009599666,0.00008342832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001408744,0.000031738,0.9865579,0.00002459627,0.000082055,0.00008333461,0.00003584147,0.002959876,0.0002450609,0.00008179147,0.0003244434,0.009432523],"study_design_scores_gemma":[0.00002500915,0.0001382379,0.9226685,0.00003757493,0.0001676645,0.0001567654,0.0001174478,0.0756511,0.0003090975,0.0002774815,0.0004369207,0.00001416389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959648,0.0005075891,0.002036126,0.000223613,0.00002092443,0.00002564879,0.0007000753,0.00003300853,0.0004881693],"genre_scores_gemma":[0.9974732,0.0001785309,0.001194109,0.0000237146,0.00001066684,0.00002361775,0.0008496834,0.000003499899,0.0002429438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01858348,"threshold_uncertainty_score":0.03695059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06992478322405589,"score_gpt":0.3346301756517827,"score_spread":0.2647053924277268,"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."}}