{"id":"W3033369774","doi":"10.1111/jrh.12471","title":"The Impact of Geographic Location on Saskatchewan Prostate Cancer Patient Treatment Choices: A Multilevel and Spatial Analysis","year":2020,"lang":"en","type":"article","venue":"The Journal of Rural Health","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Medicine; Demography; Odds; Covariate; Multilevel model; Prostate cancer; Rural area; Logistic regression; Watchful waiting; Odds ratio; Gerontology; Cancer; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002179786,0.0001323455,0.0004136819,0.00007228427,0.0001369673,0.00001145399,0.00005221001,0.00001872875,0.00001000355],"category_scores_gemma":[0.00001545625,0.00005183538,0.0001991427,0.0002643856,0.00006798538,0.00003590422,0.00001081899,0.0001147107,4.440762e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003877681,"about_ca_system_score_gemma":0.0005860243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03113371,"about_ca_topic_score_gemma":0.002337178,"domain_scores_codex":[0.9989316,0.000123361,0.0004459874,0.00006840024,0.0002497328,0.0001809405],"domain_scores_gemma":[0.9986459,0.0001303582,0.0006751961,0.0001334626,0.0001806916,0.0002343814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003934664,0.0004339099,0.4425071,0.00008032726,0.002891498,0.000004334801,0.0196918,0.00381664,0.0001087651,0.000001929116,0.0001581668,0.5263709],"study_design_scores_gemma":[0.002822017,0.01832044,0.9708274,0.000292163,0.00103612,0.00001350254,0.002945416,0.002832375,0.000679501,0.00001796536,0.0001521726,0.00006093309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784806,0.00892133,0.00003526027,0.0119038,0.00003775476,0.0005570631,0.00005699727,0.000003645229,0.00000351748],"genre_scores_gemma":[0.9760605,0.02337845,0.00001684331,0.0004254498,0.0000789019,0.00001615448,0.000006899792,0.000007988348,0.000008774966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5283204,"threshold_uncertainty_score":0.9753181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305159068467649,"score_gpt":0.3347942879992459,"score_spread":0.3117426973145694,"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."}}