{"id":"W7133021322","doi":"","title":"Dietary carbohydrate, glycemic index, glycemic load, and the risk of prostate cancer","year":2008,"lang":"","type":"dissertation","venue":"TSpace","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cancer Care Ontario","keywords":"Prostate cancer; Quartile; Odds ratio; Glycemic load; Glycemic; Prostate; Glycemic index; Multivariate analysis; Lower risk","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0008247693,0.000175157,0.0002024108,0.0004904851,0.0003388979,0.0005449303,0.0003355529,0.0003450243,0.002137125],"category_scores_gemma":[0.001761317,0.0001516382,0.0002237997,0.0007381787,0.0004335259,0.0001101724,0.0001849118,0.0003101938,0.000174905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009638297,"about_ca_system_score_gemma":0.002027765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1233235,"about_ca_topic_score_gemma":0.1064701,"domain_scores_codex":[0.9998224,0.00003326867,0.000006661125,0.00003107799,0.00006801076,0.00003846817],"domain_scores_gemma":[0.9995516,0.000110454,0.0001457358,0.00002527194,0.00007030737,0.00009662435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001047492,0.0001687988,0.9835241,0.0001544594,0.0004481388,0.00006522232,0.0001193624,0.00007280795,0.001037503,0.0002884134,0.001920225,0.01115346],"study_design_scores_gemma":[0.00005766693,0.0001663028,0.9978314,0.00003388047,0.0001860116,0.00007016858,0.00007024028,0.00008005551,0.0001447833,0.0001815216,0.001174608,0.000003337358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877286,0.005318595,0.0001524288,0.001185247,0.00005971009,0.00006827442,0.001140648,0.000008549066,0.004337972],"genre_scores_gemma":[0.9930331,0.002858889,0.0005249215,0.0005292265,0.0001014713,0.00002782671,0.0009363267,0.00000240109,0.00198591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1233235,"threshold_uncertainty_score":0.2452114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299375340225579,"score_gpt":0.3013012969743164,"score_spread":0.2883075435720606,"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."}}