{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009169854,0.0002066484,0.0006533419,0.002320322,0.000293031,0.0002532302,0.001182659,0.0002062203,0.0002406509],"category_scores_gemma":[0.007895208,0.000178724,0.0001624033,0.001079237,0.0007653277,0.0004798042,0.0001607107,0.001137151,0.00007520252],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323342,"about_ca_system_score_gemma":0.01869047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0326414,"about_ca_topic_score_gemma":0.3021989,"domain_scores_codex":[0.9958252,0.0004885954,0.0007024914,0.0004234457,0.0009093112,0.001651006],"domain_scores_gemma":[0.9894605,0.0004162217,0.0001804979,0.000907502,0.002634622,0.006400632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007676769,0.00005000814,0.8869874,0.00003733168,0.0004160416,0.000223656,0.0006351945,0.000007595796,0.00003130377,0.0001826504,0.1051987,0.00622241],"study_design_scores_gemma":[0.00993761,0.006138274,0.4825523,0.002920712,0.001272991,0.00002472626,0.04038188,0.01893717,0.0002333666,0.006574932,0.4295612,0.001464789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720273,0.004386201,0.000001933199,0.006943898,0.0008734745,0.0003311567,0.0000672813,0.000008728489,0.01536],"genre_scores_gemma":[0.9952568,0.000008537994,0.001559651,0.0006849504,0.001461364,0.00000228767,0.00003190514,0.00005436623,0.0009401452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4044351,"threshold_uncertainty_score":0.9868727,"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."}}