{"id":"W2111093770","doi":"10.1109/iri.2012.6303060","title":"Electronic medical referral system: Decision support and recommendation approach","year":2012,"lang":"en","type":"article","venue":"","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Referral; Decision support system; Process (computing); Domain (mathematical analysis); Computer science; Clinical decision support system; Medicine; Family medicine; Medical emergency; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001320667,0.0001006054,0.0001673821,0.0001683511,0.0001125385,0.00005118985,0.0001024064,0.0001978994,0.0004475651],"category_scores_gemma":[0.00008878886,0.00007666036,0.00002294461,0.0001945025,0.00002033841,0.0006095422,0.000117916,0.0001779829,0.0002480703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005838913,"about_ca_system_score_gemma":0.00002837002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120432,"about_ca_topic_score_gemma":0.0001874225,"domain_scores_codex":[0.9988925,0.00001266717,0.000277231,0.000177837,0.0002000045,0.0004397184],"domain_scores_gemma":[0.9996746,0.00002259843,0.00008777271,0.0001368423,0.00004645654,0.00003172159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001173162,0.00004890763,0.022675,0.0002695344,0.00001122455,9.870813e-7,0.00001371702,4.18557e-8,0.000006499538,0.6566012,0.01197276,0.3083884],"study_design_scores_gemma":[0.0004731657,0.00001861576,0.006987023,0.00003326692,0.0000157246,0.00009176852,0.0006312824,0.003601141,0.000004460533,0.0005355669,0.9874289,0.0001790659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5082194,0.0002906456,0.04152844,0.008159843,0.001626609,0.0007848723,0.000001097971,0.001176494,0.4382126],"genre_scores_gemma":[0.9974089,0.0000119418,0.0004435139,0.0009995912,0.0008984238,0.00002365642,0.00003911633,0.00001432455,0.0001605158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9754562,"threshold_uncertainty_score":0.4900524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856517604298033,"score_gpt":0.2780469398102521,"score_spread":0.2494817637672717,"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."}}