{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001884527,0.0003870484,0.0005751854,0.001292617,0.001568765,0.001394178,0.00131244,0.0004122604,0.00408879],"category_scores_gemma":[0.006070679,0.0003955484,0.001549893,0.003764647,0.0007894153,0.0006093636,0.002350334,0.00103496,0.0003518082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005872792,"about_ca_system_score_gemma":0.00762183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.701917,"about_ca_topic_score_gemma":0.7645998,"domain_scores_codex":[0.9976795,0.001190697,0.0001298643,0.0003380302,0.0002604967,0.0004014667],"domain_scores_gemma":[0.9952893,0.001827179,0.000959504,0.0005523466,0.0008577282,0.0005139211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008566412,0.00004348693,0.9919177,0.00003500603,0.0005829489,0.00009982815,0.0005671388,0.001491771,0.0001352162,0.0003814477,0.0006651431,0.003994703],"study_design_scores_gemma":[0.00001614257,0.00009572392,0.9863698,0.00006050201,0.0002761784,0.00007604837,0.00404732,0.007229178,0.0001153025,0.0004425945,0.001237882,0.00003310219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951472,0.0001556413,0.0009873466,0.0003886153,0.00001573506,0.00004427011,0.002099268,0.0000187538,0.001143148],"genre_scores_gemma":[0.9978848,0.0001046288,0.0006911515,0.0000611768,0.000004160403,0.00004866456,0.0006923691,0.000005835424,0.0005072635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.298083,"threshold_uncertainty_score":0.599677,"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."}}