{"id":"W4248802293","doi":"10.1093/jnci/djx122","title":"Response","year":2017,"lang":"en","type":"letter","venue":"JNCI Journal of the National Cancer Institute","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; University of Toronto; University Health Network; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003382312,0.001019916,0.001616297,0.001122272,0.007412954,0.006335742,0.002754368,0.07614579,0.02380485],"category_scores_gemma":[0.03037265,0.0009357901,0.001585,0.0007456531,0.003198467,0.003195518,0.003621377,0.04643427,0.01733277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00728478,"about_ca_system_score_gemma":0.01202992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228157,"about_ca_topic_score_gemma":0.03762311,"domain_scores_codex":[0.9954987,0.0007954336,0.0003672329,0.0006565994,0.001327457,0.001354449],"domain_scores_gemma":[0.9914638,0.002476648,0.0006570205,0.0002523843,0.002393489,0.002756613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002054938,0.00001628207,0.0003761469,0.00001928912,0.000005602918,0.0003845985,0.00006074105,0.00002432189,0.0000353599,0.001032064,0.9963325,0.001692612],"study_design_scores_gemma":[0.00007166068,0.00004382427,0.001326265,0.0002738891,0.00002160465,0.0005134236,0.0007663246,0.0002166588,0.0001225715,0.003884958,0.9926934,0.00006535683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002774532,0.0003910266,0.00004863545,0.9689978,0.02357856,0.00002268565,0.0001381114,0.00004722994,0.006498461],"genre_scores_gemma":[0.001209446,0.0001898008,0.00004321507,0.9757783,0.007758262,0.0000378567,0.00005137,0.00001818388,0.01491357],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07614579,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09225170736038296,"score_gpt":0.3820455624555326,"score_spread":0.2897938550951496,"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."}}