{"id":"W2105704103","doi":"10.1046/j.1445-2197.2003.02605.x","title":"Prioritizing patients for elective surgery: a systematic review","year":2003,"lang":"en","type":"review","venue":"ANZ Journal of Surgery","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer","keywords":"Prioritization; Medicine; Delphi method; Weighting; Delphi; Systematic review; MEDLINE; Perspective (graphical); Management science; Operations research; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0127148,0.001407777,0.005812981,0.009989519,0.0006992453,0.001833479,0.001705511,0.001642699,0.003572578],"category_scores_gemma":[0.05150477,0.0009596577,0.003872173,0.0107285,0.0006461713,0.002382191,0.0009958252,0.0009483845,0.0002898106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004061009,"about_ca_system_score_gemma":0.01693913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007318907,"about_ca_topic_score_gemma":0.02931103,"domain_scores_codex":[0.9894952,0.005119575,0.002530011,0.0004423846,0.002147497,0.0002652221],"domain_scores_gemma":[0.96763,0.02404185,0.004519968,0.0002830407,0.003066674,0.0004583604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002890667,0.0000351605,0.001107686,0.9214438,0.003950657,0.0002435714,0.0003377883,0.0002004884,0.0001550381,0.0002449861,0.002501497,0.06949026],"study_design_scores_gemma":[0.0008794304,0.0006599532,0.007047024,0.9230705,0.04048178,0.000912261,0.001116776,0.0002544322,0.0004170796,0.0006164621,0.02449081,0.00005342693],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002394985,0.9947758,0.0004020779,0.0004375798,0.0001482659,0.001202179,0.0002105861,0.00001154142,0.0004169252],"genre_scores_gemma":[0.02443777,0.971216,0.002238347,0.0003899324,0.0000631255,0.001339137,0.0001393319,0.000003889185,0.0001724799],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0127148,"threshold_uncertainty_score":0.0672431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.296091223013677,"score_gpt":0.5058434069306283,"score_spread":0.2097521839169514,"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."}}