{"id":"W2967900437","doi":"10.2337/dc19-0699","title":"Optimizing Diabetes Self-management Using the Novel Skills, Confidence, and Preparedness Index (SCPI)","year":2019,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Diabetes Management and Education","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"LMC Diabetes & Endocrinology (Canada)","funders":"","keywords":"Medicine; Preparedness; Diabetes mellitus; Index (typography); Confidence interval; Diabetes management; Type 2 diabetes; Internal medicine; World Wide Web; Computer science; Endocrinology; Management","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":[0.001156276,0.0004116087,0.0003208429,0.0006051573,0.00017847,0.0005569256,0.0002020206,0.0002894361,0.001239601],"category_scores_gemma":[0.004742782,0.0001190475,0.0004334998,0.0004552568,0.0001072082,0.0003508759,0.0004177116,0.0004893176,0.0001882675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002188626,"about_ca_system_score_gemma":0.0002995469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015006,"about_ca_topic_score_gemma":0.001853934,"domain_scores_codex":[0.9994273,0.0001949188,0.0000796073,0.00007438056,0.000175579,0.00004818408],"domain_scores_gemma":[0.9984767,0.0005913082,0.0004995548,0.00008170604,0.0001924399,0.0001582909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009297301,0.00209921,0.7310834,0.0001685649,0.0002776053,0.00007741583,0.0004106171,0.001511407,0.002369052,0.00008782819,0.001668116,0.2593171],"study_design_scores_gemma":[0.0001332626,0.002953808,0.9885215,0.00004695424,0.0001160445,0.0002535027,0.0001502533,0.004695615,0.002025011,0.0001480861,0.0009291277,0.00002678936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943013,0.0003626798,0.001984711,0.0001075102,0.00001666459,0.0002778769,0.0003800863,0.00007816113,0.002490867],"genre_scores_gemma":[0.9931779,0.0002219843,0.005501686,0.00004905028,0.0000149678,0.0001721608,0.0003441547,0.000004798502,0.0005133392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001239601,"threshold_uncertainty_score":0.006115019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008155816298361852,"score_gpt":0.245359374957781,"score_spread":0.2372035586594191,"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."}}