{"id":"W2127339508","doi":"10.1016/j.jcjd.2015.02.005","title":"Clinical Diabetes Research Using Data Mining: A Canadian Perspective","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Diabetes Management and Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's College Hospital; University of Toronto; Health Sciences Centre; Institute for Clinical Evaluative Sciences; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Health care; Digitization; Data science; Medical research; Data mining; Pathology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06893172,0.001912547,0.00350334,0.02011496,0.004761871,0.02154486,0.00734999,0.005829898,0.006042531],"category_scores_gemma":[0.1205178,0.001528083,0.002359624,0.03104877,0.01074357,0.00913165,0.007256839,0.0140811,0.001214917],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08433796,"about_ca_system_score_gemma":0.2064756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9174393,"about_ca_topic_score_gemma":0.9228346,"domain_scores_codex":[0.9704328,0.01024317,0.003405259,0.002064141,0.01193115,0.001923463],"domain_scores_gemma":[0.7399222,0.1047862,0.007224045,0.007774405,0.1232342,0.01705904],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002223289,0.0002044938,0.01183945,0.005015236,0.0006877071,0.0003722272,0.001748196,0.003525934,0.0004400715,0.2062706,0.4043678,0.365306],"study_design_scores_gemma":[0.0002018246,0.00009511214,0.01262517,0.01695659,0.0005896741,0.0003872946,0.003143491,0.004704555,0.0004722563,0.1451988,0.8152865,0.0003386792],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0009801601,0.1503129,0.00953821,0.8127685,0.003421186,0.0000801972,0.001931032,0.0002246335,0.02074319],"genre_scores_gemma":[0.07617784,0.729865,0.06118812,0.1074228,0.0150339,0.0002246354,0.002742826,0.0003352237,0.00700977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9310683,"threshold_uncertainty_score":0.6119176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4447732066467472,"score_gpt":0.4824398974438424,"score_spread":0.03766669079709517,"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."}}