{"id":"W2789874777","doi":"10.2337/dc17-0806","title":"Type 1 Diabetes TrialNet: A Multifaceted Approach to Bringing Disease-Modifying Therapy to Clinical Use in Type 1 Diabetes","year":2018,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; Juvenile Diabetes Research Foundation International","keywords":"Medicine; Clinical trial; Disease; Type 2 diabetes; Translational research; Natural history; Alternative medicine; Diabetes mellitus; Intensive care medicine; Family medicine; Pathology; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2297216,0.001180816,0.002238224,0.003183136,0.003697344,0.01815683,0.005276429,0.007072872,0.02185637],"category_scores_gemma":[0.1440685,0.001255371,0.00224634,0.003080877,0.004368525,0.01444142,0.01946745,0.0120765,0.005775979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006310949,"about_ca_system_score_gemma":0.05798036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899459,"about_ca_topic_score_gemma":0.008906984,"domain_scores_codex":[0.8379583,0.1310856,0.01088451,0.003960976,0.01260679,0.003503791],"domain_scores_gemma":[0.7615346,0.07586206,0.02139491,0.02511775,0.02157841,0.09451225],"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":[0.003537247,0.001817947,0.006528857,0.003843689,0.0006426343,0.0002485222,0.000758989,0.002129808,0.002940611,0.05842989,0.3639821,0.5551398],"study_design_scores_gemma":[0.008929738,0.00342031,0.009266819,0.006488712,0.0005068275,0.0003132865,0.000619275,0.002977635,0.001599845,0.0767906,0.8887832,0.0003037564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01117773,0.02522838,0.05684875,0.8080499,0.0206206,0.01592589,0.005095652,0.002894879,0.05415812],"genre_scores_gemma":[0.08240262,0.02409011,0.514823,0.2878432,0.02175606,0.03029853,0.01000499,0.002477494,0.02630404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2297216,"threshold_uncertainty_score":0.9498904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03555334990781008,"score_gpt":0.3038298746860949,"score_spread":0.2682765247782848,"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."}}