{"id":"W4255681258","doi":"10.5489/cuaj.3134","title":"Poster Session 6: Prostate (II)","year":2015,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Prostate; Computer science; Medicine; Internal medicine; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000875205,0.00118459,0.000758875,0.0009708363,0.001104447,0.002255268,0.0009879933,0.002357729,0.4745394],"category_scores_gemma":[0.001433268,0.0003737074,0.001108441,0.0005523078,0.0003772804,0.001016075,0.002388378,0.002564313,0.2401297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000727655,"about_ca_system_score_gemma":0.001173672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007325086,"about_ca_topic_score_gemma":0.00153804,"domain_scores_codex":[0.9994312,0.0001024458,0.00003586365,0.0001402904,0.0001706268,0.0001195475],"domain_scores_gemma":[0.9989384,0.00008202729,0.00004931831,0.00005950449,0.0002666285,0.0006041479],"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":[0.0005177051,0.0001717276,0.0009874179,0.0007249606,0.00002795954,0.0005388338,0.00006318935,0.0001386027,0.001230477,0.0008186087,0.8671395,0.1276411],"study_design_scores_gemma":[0.0000816753,0.0003242367,0.003203133,0.0003896145,0.00002104091,0.001838451,0.00007877885,0.00009564003,0.0006675996,0.0008580794,0.9924242,0.00001751564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0123939,0.03552677,0.006389247,0.03466199,0.1731871,0.001686816,0.006573841,0.002397838,0.7271825],"genre_scores_gemma":[0.03791692,0.01471523,0.002940093,0.008631688,0.06128245,0.0004677268,0.003782753,0.00077844,0.8694847],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5254606,"threshold_uncertainty_score":0.7495058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02407224974478696,"score_gpt":0.2584447298293295,"score_spread":0.2343724800845425,"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."}}