{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02606658,0.0006340789,0.0006878265,0.00178603,0.0007106608,0.002150526,0.000675489,0.0008966543,0.002019624],"category_scores_gemma":[0.0908869,0.0002041652,0.001414242,0.0006951288,0.0004551141,0.001498648,0.001326734,0.0006856969,0.0002944733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604596,"about_ca_system_score_gemma":0.003792367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396802,"about_ca_topic_score_gemma":0.002457289,"domain_scores_codex":[0.9746141,0.01921811,0.001767164,0.0004419581,0.00333755,0.0006210558],"domain_scores_gemma":[0.925832,0.05954256,0.003514189,0.0008981975,0.009056278,0.001156856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007811067,0.006253119,0.07935129,0.006737851,0.0005755571,0.0006193939,0.01138083,0.002039399,0.004146099,0.002045613,0.003213753,0.8758261],"study_design_scores_gemma":[0.01194962,0.1888622,0.438305,0.05037886,0.01003172,0.004211543,0.07053563,0.06705677,0.04516297,0.007026247,0.1054147,0.001064832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529035,0.005308774,0.01134139,0.00237821,0.0002744059,0.01248234,0.0005410968,0.0002178519,0.01455231],"genre_scores_gemma":[0.9449033,0.002913829,0.04457753,0.0004995568,0.00006064527,0.005689435,0.0002511561,0.000024503,0.001079965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02606658,"threshold_uncertainty_score":0.1378549,"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."}}