{"id":"W7100616280","doi":"","title":"University of Alberta USING SNP DATA TO PREDICT RADIATION TOXICITY FOR PROSTATE CANCER PATIENTS","year":2014,"lang":"en","type":"article","venue":"","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prostate cancer; Permission; Radiation oncology; Association (psychology); Radiation therapy; SNP","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":[0.002074343,0.0005806894,0.000693622,0.001650372,0.0009607789,0.002104541,0.0008453783,0.0005844839,0.007108823],"category_scores_gemma":[0.006480153,0.0004843874,0.0005496216,0.001903563,0.0003361859,0.0001940777,0.0006098917,0.001071,0.001923877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003751856,"about_ca_system_score_gemma":0.008595675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.683412,"about_ca_topic_score_gemma":0.7476396,"domain_scores_codex":[0.9994121,0.0001280236,0.00002567544,0.0001237598,0.0002293098,0.00008104166],"domain_scores_gemma":[0.9975805,0.0007673303,0.0001628587,0.0001484518,0.0009474387,0.0003933687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002471836,0.0003094253,0.4963115,0.0005895823,0.000712259,0.0008486917,0.0004192897,0.01135144,0.002808683,0.001744408,0.1887742,0.2936586],"study_design_scores_gemma":[0.000637687,0.0005731058,0.8151302,0.001221453,0.0009075036,0.001517418,0.0008503693,0.03843529,0.004616042,0.005603619,0.1302922,0.0002151111],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5379198,0.05913411,0.02465732,0.03601648,0.003685511,0.0007143429,0.2227966,0.002620248,0.1124556],"genre_scores_gemma":[0.8264702,0.01707989,0.03402214,0.003090599,0.0006565856,0.0002015626,0.05754861,0.00030187,0.06062857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.683412,"threshold_uncertainty_score":0.6369048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265203177898674,"score_gpt":0.297114577338541,"score_spread":0.2544625455595542,"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."}}