{"id":"W4387338387","doi":"10.1016/j.cjca.2023.06.023","title":"IMPROVING CLINIC COORDINATION IN CARDIOLOGY: TACKLING INEFFICIENCIES OF RESOURCE ALLOCATION IN ONTARIO'S HEALTH CARE SYSTEM - A PILOT STUDY","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Workflow; Resource allocation; Quality (philosophy); Healthcare system; Resource (disambiguation); Health care; Medical emergency; Emergency medicine; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003897625,0.0005668539,0.0005361059,0.0005879003,0.003469782,0.001180245,0.001540275,0.0007316536,0.001707473],"category_scores_gemma":[0.009619391,0.0004625581,0.0007560927,0.001656835,0.001112926,0.0009033284,0.00102095,0.0009613594,0.0001556264],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04209389,"about_ca_system_score_gemma":0.07620663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9559596,"about_ca_topic_score_gemma":0.9773695,"domain_scores_codex":[0.9973418,0.0008016728,0.0001119249,0.0002143699,0.0006008367,0.0009294336],"domain_scores_gemma":[0.9908265,0.002095794,0.001320987,0.0004764349,0.002518213,0.002761999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01048641,0.04458991,0.6911137,0.001100706,0.0006856382,0.001183655,0.03118293,0.01773238,0.005057906,0.001546792,0.01270782,0.1826121],"study_design_scores_gemma":[0.002094521,0.009340786,0.9591122,0.00007397898,0.0002931528,0.00006476858,0.01222853,0.01122969,0.0005195134,0.0002008935,0.004764677,0.00007740349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975794,0.00006447572,0.0001725476,0.0003193334,0.000008006633,0.0004803989,0.0002053258,0.00001315613,0.001157354],"genre_scores_gemma":[0.9966304,0.0001386076,0.001616005,0.0001831823,0.0000140738,0.0002768636,0.0002402844,0.000005446922,0.0008952337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9579061,"threshold_uncertainty_score":0.305414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0811403184259455,"score_gpt":0.3749089290861251,"score_spread":0.2937686106601796,"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."}}