{"id":"W2345642268","doi":"10.1016/j.eururo.2015.09.036","title":"Reply from Authors re: Julia Verne, Luke Hounsome, Roger Kockelbergh, Jem Rashbass. Improving Outcomes from Prostate Cancer: Unlocking the Treasure Trove of Information in Cancer Registries. Eur Urol 2016;69:1013–4","year":2015,"lang":"en","type":"letter","venue":"European Urology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"World Health Organization","keywords":"Treasure; Medicine; Prostate cancer; Miller; Art history; Cancer; Archaeology; Art; History; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001085013,0.0007067,0.001259783,0.0004287423,0.0001402633,0.00009855076,0.0005538487,0.0005725936,0.0001992181],"category_scores_gemma":[0.001187823,0.0005424093,0.0002968593,0.0005254422,0.0002767325,0.000353866,0.0002488296,0.003331765,0.00007228001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006551084,"about_ca_system_score_gemma":0.0009126782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05936196,"about_ca_topic_score_gemma":0.0032621,"domain_scores_codex":[0.9950116,0.001103439,0.00140485,0.0008919915,0.0008531964,0.0007349221],"domain_scores_gemma":[0.9959412,0.0005199451,0.001687156,0.00119905,0.0004900712,0.0001626378],"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":[0.006132957,0.00004404768,0.0650235,0.0001620123,0.000627781,0.0003999162,0.004433446,0.0007558836,0.0001668772,0.000001226494,0.8768619,0.04539048],"study_design_scores_gemma":[0.00436068,0.001283463,0.09830067,0.0002868498,0.0008080743,0.00002704764,0.000154426,0.0008405065,0.000271438,0.00007069416,0.8929884,0.0006077273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4939027,0.01358146,0.0002145266,0.4706725,0.007304566,0.00282056,0.00250554,0.0005832958,0.008414811],"genre_scores_gemma":[0.708156,0.0008076045,0.0001415029,0.2781122,0.004886848,0.0002692148,0.00175261,0.0003185585,0.005555489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2142532,"threshold_uncertainty_score":0.9997028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363238845732151,"score_gpt":0.2556023434026214,"score_spread":0.2319699549452999,"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."}}