{"id":"W2112269466","doi":"10.14236/jhi.v19i4.816","title":"Patterns of referral in a Canadian primary care electronic healthrecord database: retrospective cross-sectional analysis","year":2011,"lang":"en","type":"article","venue":"Journal of Innovation in Health Informatics","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Referral; Medicine; Family medicine; Cross-sectional study; Primary care; Database; Retrospective cohort study; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00417034,0.0005033757,0.0007258208,0.005389194,0.002304485,0.002192076,0.001754954,0.0006204504,0.001164224],"category_scores_gemma":[0.01319228,0.0007831652,0.0007221734,0.01263077,0.0009679529,0.0007379783,0.001399801,0.0007976716,0.000235232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02305946,"about_ca_system_score_gemma":0.02272386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9559863,"about_ca_topic_score_gemma":0.9547826,"domain_scores_codex":[0.9927516,0.0006085348,0.000814841,0.001236326,0.003606308,0.0009824041],"domain_scores_gemma":[0.9841596,0.001586582,0.004158305,0.0007371643,0.008052245,0.001306044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003486908,0.00001930607,0.9974705,0.00004619191,0.00006774603,0.00004648056,0.0003649527,0.00004321483,0.00005263638,0.00002030175,0.0004192326,0.001414557],"study_design_scores_gemma":[0.000003727698,0.00001884048,0.9989991,0.00001747591,0.0000287873,0.00007039992,0.0003658759,0.0001911383,0.00002582821,0.000004935534,0.0002669266,0.000007136442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871814,0.0005557172,0.0002899398,0.000161388,0.000008818593,0.000203586,0.01046471,0.00002453705,0.001109971],"genre_scores_gemma":[0.9935471,0.0004484421,0.0006194985,0.0001280709,0.000008487594,0.00009797137,0.004937942,0.000007949531,0.0002043847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04401368,"threshold_uncertainty_score":0.1673089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837332125635446,"score_gpt":0.3141425937067391,"score_spread":0.2657692724503847,"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."}}