{"id":"W2950032386","doi":"10.1186/s13063-019-3393-5","title":"Understanding the impact of a multispecialty electronic consultation service on family physician referral rates to specialists: a randomized controlled trial using health administrative data","year":2019,"lang":"en","type":"article","venue":"Trials","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Champlain Regional College; Bruyère; University of Ottawa","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Referral; Randomized controlled trial; Specialty; Intervention (counseling); Family medicine; Randomization; Rate ratio; Emergency medicine; Confidence interval; Nursing; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"randomized_trial","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"randomized_trial","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006526443,0.001273003,0.003080387,0.0007939246,0.0006793261,0.00164487,0.001348355,0.003331997,0.009541808],"category_scores_gemma":[0.0140939,0.0008580249,0.003911697,0.0008877495,0.001603366,0.001422634,0.0009267353,0.002887933,0.000461453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728158,"about_ca_system_score_gemma":0.003230402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003695914,"about_ca_topic_score_gemma":0.004141838,"domain_scores_codex":[0.9925844,0.004745312,0.0007786474,0.0008625358,0.0004671183,0.0005619029],"domain_scores_gemma":[0.9916627,0.004800769,0.001912347,0.0003401107,0.0003673064,0.0009167292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9685794,0.01335694,0.001411679,0.001947765,0.002241749,0.00002373981,0.00008932735,0.0002094657,0.0002883682,0.00009591865,0.000313834,0.01144189],"study_design_scores_gemma":[0.9542073,0.0402917,0.002383172,0.0001705675,0.002057226,0.000009620612,0.0000379473,0.0003526621,0.000157612,0.0001074059,0.0002139655,0.00001083208],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793181,0.005857453,0.0007543567,0.001220385,0.0009800687,0.009428298,0.0006893291,0.0001011591,0.001650919],"genre_scores_gemma":[0.9799533,0.002150084,0.002525422,0.0008603416,0.0005608728,0.01252957,0.0003159601,0.000009839026,0.001094608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009541808,"threshold_uncertainty_score":0.0345155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4558177030111628,"score_gpt":0.4772507240015615,"score_spread":0.02143302099039868,"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."}}