{"id":"W2999091070","doi":"10.1177/1460458219896639","title":"Evaluation of mobile apps for treatment of patients at risk of developing gestational diabetes","year":2020,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Agency for Healthcare Research and Quality","keywords":"Gestational diabetes; Tracking (education); Mobile apps; Computer science; Internet privacy; Pregnancy; Multimedia; Medicine; World Wide Web; Psychology; Gestation","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":[0.004028516,0.0001404757,0.0005938947,0.0001559426,0.0007106106,0.000002292016,0.0001234817,0.000112345,0.0001257931],"category_scores_gemma":[0.0008576121,0.0001174022,0.0001051019,0.0002482317,0.00004853596,0.0001354167,0.00003144811,0.0001685776,0.00001182851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009370281,"about_ca_system_score_gemma":0.00554529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002683683,"about_ca_topic_score_gemma":0.00002289199,"domain_scores_codex":[0.9943593,0.0004982993,0.003724868,0.00008821078,0.0008474252,0.000481935],"domain_scores_gemma":[0.9902208,0.0008516412,0.005572045,0.0001688873,0.002727591,0.0004590675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004431082,0.0005176705,0.3982393,0.01568313,0.000194173,2.319748e-8,0.05240015,0.00440518,0.00001581814,0.002244593,0.008562741,0.5172942],"study_design_scores_gemma":[0.03902683,0.01266905,0.3976855,0.002183959,0.0007970472,0.000002433699,0.01431639,0.1751574,0.0009178758,0.006598022,0.3500085,0.0006369757],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784673,0.0009658035,0.009699577,0.001168436,0.0003209405,0.008040574,0.001038713,0.00001545907,0.0002832066],"genre_scores_gemma":[0.9244627,0.00708589,0.06004136,0.002102589,0.0002254243,0.005513462,0.0005159065,0.00003627409,0.00001639825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5166572,"threshold_uncertainty_score":0.9837106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.131557784344668,"score_gpt":0.4556103167723499,"score_spread":0.3240525324276819,"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."}}