{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002303473,0.0002049586,0.000741451,0.0005998587,0.000107475,0.00004207503,0.0001669281,0.00008998701,0.00006693036],"category_scores_gemma":[0.004044577,0.0001653637,0.0001221761,0.00107005,0.0001900599,0.0002236859,0.0001388945,0.0008024312,0.0000244101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004037954,"about_ca_system_score_gemma":0.0000925123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000592789,"about_ca_topic_score_gemma":0.00001864228,"domain_scores_codex":[0.9967135,0.0005938068,0.0007223148,0.0005032148,0.00069749,0.0007697162],"domain_scores_gemma":[0.9985825,0.000416241,0.0001602211,0.0001912941,0.0002792104,0.0003704881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001146243,0.0002459326,0.9405102,0.003541402,0.00005329914,0.000004448275,0.000517002,0.00003475753,0.003490053,0.0004867352,0.0004996856,0.05050183],"study_design_scores_gemma":[0.002961931,0.001049017,0.9719222,0.001587089,0.0000361232,1.282241e-7,0.00004269489,0.01041259,0.0009125323,0.00139395,0.009557663,0.0001241438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9199731,0.07499073,0.00004292703,0.00114102,0.00003710829,0.003171447,0.0003525632,0.00001704383,0.0002740209],"genre_scores_gemma":[0.9611422,0.03533503,0.001143285,0.0001061421,0.0001398824,0.0009826993,0.0007507448,0.00003562631,0.0003643887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05037768,"threshold_uncertainty_score":0.6743335,"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."}}