{"id":"W3005716739","doi":"10.2196/15390","title":"A Mobile-Based Intervention for Glycemic Control in Patients With Type 2 Diabetes: Retrospective, Propensity Score-Matched Cohort Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Diabetes Management and Education","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Tianjin City; National Natural Science Foundation of China","keywords":"Propensity score matching; Glycemic; Medicine; Type 2 diabetes; Retrospective cohort study; Cohort; Diabetes mellitus; Internal medicine; Insulin; Endocrinology","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":[0.003374076,0.0005055621,0.0007282329,0.001098802,0.0008506629,0.0009341452,0.0007040614,0.0007306193,0.001458517],"category_scores_gemma":[0.008486989,0.0005911286,0.001443593,0.002546174,0.0004519079,0.0008628865,0.0006879561,0.000897053,0.0002434365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007628335,"about_ca_system_score_gemma":0.001106756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004632697,"about_ca_topic_score_gemma":0.004383225,"domain_scores_codex":[0.9965426,0.001119777,0.000627542,0.0008888267,0.0005541063,0.0002671499],"domain_scores_gemma":[0.995647,0.0006360194,0.002175105,0.0007544733,0.0004704684,0.0003168544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001217447,0.0002527036,0.9940435,0.00009170823,0.0009105484,0.0000837979,0.0001106417,0.0001156642,0.0001144232,0.00008872829,0.0003763479,0.002594457],"study_design_scores_gemma":[0.0006617171,0.001576271,0.9914363,0.00009188666,0.001606809,0.0004332786,0.0003090693,0.002072516,0.0001682223,0.0002845323,0.00132724,0.00003220103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947208,0.001297505,0.001708126,0.0001258335,0.00005731538,0.0005117168,0.001085124,0.00001059009,0.0004829766],"genre_scores_gemma":[0.9973646,0.000321366,0.0008130471,0.0001631676,0.0000623582,0.000348967,0.0008161009,0.000004289338,0.0001062858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004632697,"threshold_uncertainty_score":0.01784402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03547626648634623,"score_gpt":0.3238490286491719,"score_spread":0.2883727621628256,"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."}}