{"id":"W6907579060","doi":"10.25384/sage.c.4710341.v1","title":"Regional Wait Times for Patients With Nonmelanoma Skin Cancer in Southwestern Ontario","year":2019,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Referral; Cohort; Retrospective cohort study; Skin cancer; Cohort study; Cancer","routes":{"ca_aff":false,"ca_fund":false,"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":[0.000217948,0.0001192367,0.0001413096,0.000381453,0.001308297,0.000526321,0.0004645266,0.0002016497,0.002308237],"category_scores_gemma":[0.001080117,0.0001263387,0.0002132459,0.0009547908,0.0003447794,0.0002391994,0.0003996285,0.0002883938,0.0001181429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009339945,"about_ca_system_score_gemma":0.008421299,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7969877,"about_ca_topic_score_gemma":0.9086663,"domain_scores_codex":[0.9996459,0.00002057204,0.00003061824,0.00005308248,0.00008100467,0.0001687209],"domain_scores_gemma":[0.9982983,0.0001139476,0.0008926428,0.00002321187,0.0002281412,0.0004436912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004750574,0.0000166131,0.9957182,0.00002390069,0.000008604882,0.0002632799,0.0009203096,0.00004778227,0.0001551223,0.00002938815,0.0006414223,0.002127832],"study_design_scores_gemma":[0.000004449565,0.00004442714,0.9966639,0.00002528063,0.00001077165,0.0002714737,0.002043453,0.0001252239,0.00005273711,0.0000124242,0.0007411108,0.000004721293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980122,0.0003784279,0.00003022838,0.0002334834,0.000005982061,0.00001106866,0.0004884496,0.000005958137,0.0008341745],"genre_scores_gemma":[0.9992923,0.0001451517,0.00004322977,0.00006715234,0.000004618014,0.000006869098,0.0002363533,0.000001756298,0.0002025587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2030123,"threshold_uncertainty_score":0.4084158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03749209840491314,"score_gpt":0.2889387457836471,"score_spread":0.251446647378734,"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."}}