{"id":"W2092441329","doi":"10.1007/s10729-007-9013-z","title":"Predicting joint replacement waiting times","year":2007,"lang":"en","type":"review","venue":"Health Care Management Science","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Institute for Clinical Evaluative Sciences; McMaster University","keywords":"Health informatics; Health administration; Joint (building); Health care management; Nursing research; Computer science; Medicine; Public health; Nursing; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001555346,0.001709195,0.00249881,0.002227954,0.0001759471,0.001148471,0.001471518,0.0009743608,0.001421865],"category_scores_gemma":[0.005572913,0.0004734274,0.001167196,0.003750638,0.0002325446,0.0009368722,0.0003557357,0.000927963,0.0006517867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005098388,"about_ca_system_score_gemma":0.001471634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009334767,"about_ca_topic_score_gemma":0.01076539,"domain_scores_codex":[0.9994117,0.0001331411,0.00005838095,0.0001375944,0.0002310591,0.00002819015],"domain_scores_gemma":[0.9968019,0.002282284,0.0003286042,0.00006652059,0.0004818754,0.00003887631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007106446,0.0001605173,0.005576746,0.005103296,0.0005076334,0.00004287385,0.00001868745,0.01762236,0.0002984633,0.0008465977,0.01552456,0.9542273],"study_design_scores_gemma":[0.0003422899,0.001355431,0.07612663,0.01912877,0.00680484,0.002323975,0.0005256773,0.4034997,0.007778938,0.03253001,0.4491161,0.0004677946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00461978,0.979242,0.01266318,0.0009564313,0.0004676926,0.00002885152,0.0004342896,0.00009886384,0.001488912],"genre_scores_gemma":[0.03443137,0.9460664,0.01553314,0.0003548066,0.001012998,0.00005404926,0.001119439,0.00002211895,0.001405705],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009334767,"threshold_uncertainty_score":0.01856089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1716036664249597,"score_gpt":0.5122688833097845,"score_spread":0.3406652168848248,"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."}}