{"id":"W2946803574","doi":"10.1007/s00428-019-02574-0","title":"Dataset for the reporting of prostate carcinoma in radical prostatectomy specimens: updated recommendations from the International Collaboration on Cancer Reporting","year":2019,"lang":"en","type":"review","venue":"Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Calgary Laboratory Services; University of Calgary","funders":"","keywords":"Prostatectomy; Prostate cancer; Medicine; Grading (engineering); Cancer; Gynecology; Prostate; Oncology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03820895,0.001971639,0.006730103,0.01464096,0.001029324,0.003454437,0.009385313,0.003402742,0.01469381],"category_scores_gemma":[0.079084,0.001406054,0.007480015,0.01795672,0.001295352,0.002577793,0.00532372,0.004110712,0.007276278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005877273,"about_ca_system_score_gemma":0.03132838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04070182,"about_ca_topic_score_gemma":0.03381281,"domain_scores_codex":[0.9625629,0.009484085,0.01907329,0.001856704,0.005664065,0.001358959],"domain_scores_gemma":[0.8887812,0.02269234,0.02834304,0.008841652,0.04829979,0.00304198],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001130596,0.0001174844,0.008587039,0.09587217,0.003040982,0.0001452245,0.0003291976,0.0006723048,0.001515594,0.007575843,0.7225767,0.1584369],"study_design_scores_gemma":[0.0006988576,0.00009290373,0.03673266,0.05761835,0.003262169,0.000287265,0.0002178077,0.0002298102,0.001098129,0.002304156,0.8972805,0.0001773808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001531995,0.07084063,0.007498756,0.01174246,0.003165572,0.005420574,0.8913057,0.0009382563,0.007556078],"genre_scores_gemma":[0.006783564,0.07462079,0.03378833,0.009708711,0.0007870921,0.01354312,0.8566018,0.0004735735,0.003693003],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.961791,"threshold_uncertainty_score":0.2020707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1587036175615009,"score_gpt":0.472069292975918,"score_spread":0.3133656754144171,"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."}}