{"id":"W4395042006","doi":"10.1002/lary.31443","title":"Length of Stay Prediction Models for Oral Cancer Surgery: Machine Learning, Statistical and <scp>ACS‐NSQIP</scp>","year":2024,"lang":"en","type":"article","venue":"The Laryngoscope","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Vector Institute; St. Michael's Hospital; Sinai Health System; Sunnybrook Health Science Centre; Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Medicine; Calculator; Cancer; Quality management; Surgery; Computer science; Operations management; Internal medicine; Engineering; Management system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004961396,0.0001417665,0.0004255506,0.00006520581,0.0001155451,0.00002030727,0.00004274569,0.00005696327,0.00004100089],"category_scores_gemma":[0.0002075247,0.00008856267,0.00005821721,0.000144477,0.0001387841,0.0000858941,0.00004698046,0.0002310082,0.000003848209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004215594,"about_ca_system_score_gemma":0.0001495977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005454693,"about_ca_topic_score_gemma":0.0001500283,"domain_scores_codex":[0.9990143,0.00006316266,0.0002405123,0.0002326455,0.0001935564,0.0002558334],"domain_scores_gemma":[0.9988365,0.0008483025,0.00004077512,0.0001224561,0.00007103271,0.00008089904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001479584,0.0005825666,0.1381373,0.009446954,0.003631545,0.000106907,0.01897519,0.0009060054,0.01108994,0.02589524,0.5777433,0.2120055],"study_design_scores_gemma":[0.003641745,0.003062395,0.04930532,0.002669143,0.00213443,0.00008007763,0.00100926,0.3729636,0.007589201,0.005774414,0.5514623,0.0003080625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435933,0.04223656,0.0067177,0.002607079,0.000616588,0.0008388449,0.001100109,0.0001988166,0.002090949],"genre_scores_gemma":[0.9886391,0.006829916,0.0003525904,0.0002273867,0.0002324927,0.0001276827,0.00007483209,0.00004024577,0.00347581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3720576,"threshold_uncertainty_score":0.3611481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134727855159888,"score_gpt":0.317354446155623,"score_spread":0.2760071676040241,"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."}}