{"id":"W2763708616","doi":"10.3399/bjgp17x693125","title":"Improving access to allied health professionals through the Champlain BASE<sup>™</sup>eConsult service: a cross-sectional study in Canada","year":2017,"lang":"en","type":"article","venue":"British Journal of General Practice","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Ontario Ministry of Health and Long-Term Care; Champlain Local Health Integration Network","keywords":"Medicine; Specialty; Cross-sectional study; Referral; Interquartile range; Family medicine; Service (business); Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002013122,0.0003713084,0.0005097798,0.001601317,0.004048337,0.002184026,0.001692162,0.0007026806,0.002503397],"category_scores_gemma":[0.004679903,0.0007082256,0.0006358036,0.004916593,0.001530294,0.0007501102,0.001386956,0.001210416,0.000246558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04730586,"about_ca_system_score_gemma":0.0654507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928503,"about_ca_topic_score_gemma":0.9957962,"domain_scores_codex":[0.9975352,0.0002111588,0.0001942068,0.0003091541,0.0009233599,0.000826911],"domain_scores_gemma":[0.9931223,0.0006169803,0.001476489,0.000139622,0.002559835,0.002084914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005012901,0.00009957609,0.993659,0.00007245883,0.00003443099,0.00009697599,0.002560038,0.00003771366,0.000114075,0.00005771955,0.0006935695,0.002524381],"study_design_scores_gemma":[0.000009220554,0.00007251365,0.9928283,0.00007052436,0.00001828173,0.00006171003,0.005987148,0.0001733873,0.00005302036,0.000009668699,0.0007045942,0.00001158367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964178,0.0004260597,0.00006948841,0.0003516421,0.000008539794,0.000120933,0.001473726,0.000005846332,0.00112598],"genre_scores_gemma":[0.9976023,0.0005435753,0.0002434468,0.0003040651,0.000006018812,0.00004960716,0.0005996863,0.000005258606,0.0006460493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04730586,"threshold_uncertainty_score":0.3432296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06059510337958327,"score_gpt":0.3708564902153441,"score_spread":0.3102613868357608,"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."}}