{"id":"W7096194232","doi":"","title":"the Canadian Urologic Oncology Group","year":2013,"lang":"en","type":"article","venue":"","topic":"Clusterin in disease pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clusterin; Prostate cancer; Cancer; Biomarker; Prostate; Reduction (mathematics); MEDLINE","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001274627,0.00006122727,0.0001032694,0.0000421712,0.00016461,0.00001674849,0.00009861279,0.0001023783,0.003610146],"category_scores_gemma":[0.0001600287,0.00003426869,0.00003607283,0.00006681542,0.0001657182,0.00001830254,0.00004070951,0.0001305155,0.002442474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766286,"about_ca_system_score_gemma":0.0002257147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1008023,"about_ca_topic_score_gemma":0.5012156,"domain_scores_codex":[0.9993489,0.00005148184,0.0001107423,0.0001240092,0.00006324762,0.0003016643],"domain_scores_gemma":[0.9992135,0.0001322137,0.00001836979,0.0002726285,0.00004812604,0.0003151451],"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":[0.000142907,0.0002077488,0.1932253,0.00002717833,0.0001176153,0.0009828761,0.0003131596,0.000002919828,0.002565792,0.03231268,0.6002798,0.169822],"study_design_scores_gemma":[0.0004465734,0.0003740955,0.3381479,0.000001552136,0.00002262599,0.0003373883,0.0001153348,0.0002368189,0.00001520194,0.002003063,0.6582403,0.0000591028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4178126,0.0002150001,0.00002717863,0.0736672,0.0004321764,0.0005799565,0.000001459294,0.00007647417,0.507188],"genre_scores_gemma":[0.9785411,0.00001734628,0.0006663957,0.01468153,0.0001043078,0.0001074853,0.000005960235,0.000007957282,0.005867888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5607285,"threshold_uncertainty_score":0.9983342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194127614370258,"score_gpt":0.2908471922162997,"score_spread":0.2689059160725971,"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."}}