{"id":"W4220967931","doi":"10.2196/30571","title":"Web-Based TangPlan and WeChat Combination to Support Self-management for Patients With Type 2 Diabetes: Randomized Controlled Trial","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Diabetes Management and Education","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Glycated hemoglobin; Medicine; Self-management; Type 2 Diabetes Mellitus; Weight management; Diabetes mellitus; Randomized controlled trial; Type 2 diabetes; Blood pressure; Diabetes management; Body mass index; Physical therapy; Weight loss; Internal medicine; Obesity; Endocrinology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108892,0.001097819,0.003713445,0.000647211,0.0005097985,0.0009255899,0.0008214947,0.001640527,0.008347928],"category_scores_gemma":[0.001904077,0.0005299038,0.002420085,0.000682376,0.0006353353,0.001081065,0.0005483243,0.002186954,0.0005538495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000550563,"about_ca_system_score_gemma":0.001013573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485246,"about_ca_topic_score_gemma":0.002493578,"domain_scores_codex":[0.999363,0.0002871197,0.0000760711,0.0001286135,0.00006243877,0.00008267258],"domain_scores_gemma":[0.9991134,0.0002627838,0.0002172096,0.00005391508,0.00006188638,0.0002907076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9591342,0.01219472,0.0006235758,0.002008845,0.00209974,0.00003577513,0.00003989368,0.0001718011,0.0004177635,0.00008024954,0.0008076079,0.02238581],"study_design_scores_gemma":[0.9582725,0.03813053,0.00163337,0.0001271488,0.001017269,0.00001501548,0.00002555654,0.0003115097,0.00008685079,0.00005919192,0.0003108843,0.00001013431],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647525,0.01743305,0.001104368,0.0009563872,0.001425903,0.009798291,0.001346184,0.0003083129,0.002874953],"genre_scores_gemma":[0.9657691,0.007806157,0.003139556,0.001297346,0.0008275554,0.01690474,0.0008122629,0.00002005989,0.003423351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008347928,"threshold_uncertainty_score":0.02792662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515862541770132,"score_gpt":0.3113878506735615,"score_spread":0.2962292252558602,"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."}}