{"id":"W4387934026","doi":"10.1016/j.jcjd.2023.10.381","title":"TRIAGING REFERRALS TO ECONSULTS (TREC): PROOF OF CONCEPT","year":2023,"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":"","funders":"","keywords":"Referral; Medicine; Triage; Workflow; Advice (programming); Primary care; Medical emergency; Proof of concept; Internet privacy; Family medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03035977,0.001046834,0.001283658,0.0007702165,0.001450768,0.0045081,0.002486437,0.003680843,0.0389695],"category_scores_gemma":[0.1013094,0.0003974464,0.002590146,0.0005415033,0.001858696,0.002846853,0.003226728,0.002904574,0.004635054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00240405,"about_ca_system_score_gemma":0.02361812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008311642,"about_ca_topic_score_gemma":0.007217741,"domain_scores_codex":[0.9804658,0.01278894,0.0006003474,0.001215091,0.003490117,0.001439642],"domain_scores_gemma":[0.908657,0.06114122,0.00498589,0.004503502,0.01305006,0.007662349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03395294,0.02484895,0.01472667,0.008903688,0.00136499,0.001033754,0.001517819,0.00987849,0.01017376,0.03562595,0.1525704,0.7054026],"study_design_scores_gemma":[0.1188681,0.1191371,0.04798215,0.02477803,0.007704118,0.004225009,0.009742229,0.1559028,0.04527757,0.07348777,0.3915334,0.001361782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.28492,0.01687546,0.3615693,0.1179464,0.02202725,0.07989477,0.01345958,0.007947479,0.09535978],"genre_scores_gemma":[0.5437243,0.005669019,0.3939753,0.01896429,0.00238736,0.02129056,0.002827489,0.0004764406,0.01068525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0389695,"threshold_uncertainty_score":0.1605597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04071463475367092,"score_gpt":0.2579063578820276,"score_spread":0.2171917231283567,"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."}}