{"id":"W2014235311","doi":"10.1016/j.jcjd.2012.05.001","title":"Exploring the Factors Associated with Specialist Referral for Patients with Type 2 Diabetes: Are We Referring Those in Greatest Need?","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Referral; Logistic regression; Odds; Odds ratio; Diabetes mellitus; Family medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004559281,0.0001807619,0.000342298,0.000496559,0.0002263941,0.0001363959,0.0002457967,0.00007594685,0.00001518307],"category_scores_gemma":[0.0004506804,0.0001114006,0.00004681532,0.0005983308,0.00008050065,0.001147409,0.00001625645,0.0002784676,0.000002578903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002266042,"about_ca_system_score_gemma":0.0001348585,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970168,"about_ca_topic_score_gemma":0.06598894,"domain_scores_codex":[0.998633,0.000023279,0.0003405377,0.0001147547,0.0001642105,0.0007241935],"domain_scores_gemma":[0.9987592,0.0001043656,0.0004870203,0.0001493935,0.0003961682,0.0001039207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003839516,0.000020287,0.9974834,0.00005797189,0.00005034386,0.000001417014,0.0001749931,0.000005302775,0.000002081231,0.0002989919,0.0003119817,0.001589389],"study_design_scores_gemma":[0.0005606968,0.00009636925,0.976959,0.000768999,0.00004060888,8.692963e-8,0.001154693,0.000008465126,0.00001269586,0.00007901879,0.02014779,0.0001715012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975464,0.0002691995,8.062892e-7,0.000933532,0.0007317296,0.0002654879,0.00001297997,0.00001687647,0.0002229913],"genre_scores_gemma":[0.9990696,0.000002564605,0.00001109499,0.0002071281,0.0006206798,0.00001681192,0.00001590123,0.00004060859,0.00001562721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06401877,"threshold_uncertainty_score":0.9510543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.128424586738417,"score_gpt":0.2462662325873402,"score_spread":0.1178416458489232,"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."}}