{"id":"W3090982300","doi":"10.1002/hed.26495","title":"Role of physician density in predicting stage and survival for head and neck squamous cell carcinoma","year":2020,"lang":"en","type":"article","venue":"Head & Neck","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Retrospective cohort study; Cohort; Stage (stratigraphy); Cancer; Hazard ratio; Head and neck cancer; Internal medicine; Oncology; Head and neck squamous-cell carcinoma; Confidence interval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001432765,0.0001290562,0.0001610813,0.0005828773,0.0003093424,0.0004946206,0.0004387019,0.0003058075,0.002246206],"category_scores_gemma":[0.00881637,0.0001852734,0.000383069,0.0005672798,0.0002816055,0.0003915613,0.000485954,0.0003692404,0.0001574172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004519528,"about_ca_system_score_gemma":0.0006351619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0234746,"about_ca_topic_score_gemma":0.03363105,"domain_scores_codex":[0.9993895,0.0002832193,0.00005119972,0.00008470649,0.0001049249,0.00008637182],"domain_scores_gemma":[0.995713,0.001650185,0.001460084,0.0002346496,0.0003456644,0.0005964167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001595444,0.000005666715,0.9995006,0.000002503976,0.00001367061,0.000006237567,0.00001342875,0.00002868342,0.000009309507,0.000006427509,0.00004656969,0.0003508253],"study_design_scores_gemma":[0.000002942519,0.00002686044,0.9991836,0.000008374153,0.00002091165,0.00007115594,0.0001304467,0.000403549,0.0000208557,0.00002042772,0.0001095,0.000001433637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984212,0.0003347781,0.00009548065,0.0001779073,0.000008793133,0.000006673444,0.0003924285,0.000002726845,0.0005601024],"genre_scores_gemma":[0.9996669,0.00005490169,0.00006047589,0.00001169127,0.000006583991,0.000002502574,0.0001330851,6.201622e-7,0.00006328469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0234746,"threshold_uncertainty_score":0.04667592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028239403095751,"score_gpt":0.2804026344014186,"score_spread":0.2521632313056676,"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."}}