{"id":"W4294867571","doi":"10.2196/37838","title":"Optimizing Health Coaching for Patients With Type 2 Diabetes Using Machine Learning: Model Development and Validation Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Diabetes Management and Education","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; McMaster University; Population Health Research Institute; Public Health Ontario; University of Toronto","funders":"Hamilton Health Sciences","keywords":"Coaching; Psychological intervention; Medicine; Health coaching; Reinforcement learning; Intervention (counseling); Randomized controlled trial; Artificial intelligence; Type 2 diabetes; Physical therapy; Machine learning; Computer science; Diabetes mellitus; Nursing; Psychology; Surgery","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.008311819,0.001419355,0.001554971,0.0007651304,0.0005485859,0.0009333111,0.001497832,0.001881613,0.002748877],"category_scores_gemma":[0.01645994,0.0005383944,0.00168489,0.0006997175,0.0006043735,0.0005388452,0.0009928496,0.00263619,0.0003126462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002630796,"about_ca_system_score_gemma":0.003835927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06960475,"about_ca_topic_score_gemma":0.03158275,"domain_scores_codex":[0.9983295,0.001167623,0.00006660964,0.0001707819,0.00009488678,0.0001706446],"domain_scores_gemma":[0.9760718,0.02079366,0.00057413,0.0004820104,0.001766825,0.0003114918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007003171,0.001081342,0.01558807,0.0001738722,0.0002554021,0.00007270418,0.0000768403,0.9652947,0.0001440687,0.0006441763,0.001099443,0.01486909],"study_design_scores_gemma":[0.0001073566,0.0001699078,0.001190178,0.00001678925,0.00003319333,0.000006957978,0.00001904021,0.9979938,0.00008866905,0.0002521222,0.0001147952,0.000007166112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473087,0.001496706,0.04468618,0.001487261,0.00008641991,0.0006741445,0.0009364882,0.0003180759,0.003006008],"genre_scores_gemma":[0.98012,0.000318702,0.01701664,0.0002023304,0.00002207469,0.0005089389,0.0008526293,0.00001748904,0.0009411263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06960475,"threshold_uncertainty_score":0.1383992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060067114088088,"score_gpt":0.4136783676582477,"score_spread":0.3076716562494389,"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."}}