{"id":"W4210390499","doi":"10.2196/32101","title":"The Ontario Electronic Consultation (eConsult) Service: Cross-sectional Analysis of Utilization Data for 2 Models","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa; Bruyère","funders":"","keywords":"Specialty; Referral; Medicine; Primary care; Family medicine; Service (business); Cross-sectional study; Service delivery framework; Directory; Medical emergency; Computer science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003885563,0.00007683277,0.0001695843,0.0006731495,0.001500135,0.0001730343,0.0006860299,0.00005866191,0.0001500015],"category_scores_gemma":[0.0001660442,0.00006190158,0.00006600335,0.002781733,0.00009205635,0.001014887,0.0006181162,0.0004048044,0.00001077081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003557093,"about_ca_system_score_gemma":0.0003768553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03045184,"about_ca_topic_score_gemma":0.1319657,"domain_scores_codex":[0.9982214,0.00007749839,0.0004420285,0.0002435358,0.0005957253,0.0004198132],"domain_scores_gemma":[0.997409,0.0003928921,0.0002636067,0.0004703311,0.001455185,0.000008931193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008493103,0.0003589414,0.1023072,0.0007350426,0.00180185,8.246244e-7,0.005331435,0.01610085,0.00006941114,0.841184,0.006684292,0.02457687],"study_design_scores_gemma":[0.0006023659,0.00006642882,0.06083784,0.000004526349,0.00003701909,9.955071e-7,0.002457033,0.6629535,0.000004832234,0.01470621,0.258241,0.00008821896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932117,0.0001219119,0.002136091,0.0009268527,0.0001432198,0.001227299,0.0002261731,0.00004661636,0.001960104],"genre_scores_gemma":[0.9972419,0.000008977087,0.00001154553,0.00008219666,0.00005531519,0.000636092,0.001671006,0.000009507764,0.000283533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8264778,"threshold_uncertainty_score":0.9997998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2275067437570835,"score_gpt":0.4477827282228884,"score_spread":0.220275984465805,"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."}}