{"id":"W4409460502","doi":"10.1111/his.15450","title":"Data set for reporting paediatric renal tumours: recommendations from the international collaboration on cancer reporting (<scp>ICCR</scp>)","year":2025,"lang":"en","type":"review","venue":"Histopathology","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Iowa Pork Producers Association","keywords":"Medicine; Set (abstract data type); Best practice; Cancer; Wilms' tumor; Medical physics; Consolidation (business); Intensive care medicine; Computer science; Pathology; Internal medicine; Business; Political 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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3351291,0.00305328,0.006098504,0.03433089,0.003743978,0.01259471,0.01521841,0.008437038,0.01272549],"category_scores_gemma":[0.4451167,0.003428001,0.01026213,0.03336105,0.004587681,0.01030961,0.01349953,0.01528848,0.01423354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01346709,"about_ca_system_score_gemma":0.06510856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0432948,"about_ca_topic_score_gemma":0.0222239,"domain_scores_codex":[0.6182741,0.1401586,0.1824741,0.007546121,0.0451474,0.006399828],"domain_scores_gemma":[0.3616365,0.1867867,0.08507512,0.0633527,0.2899501,0.01319889],"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":[0.000531373,0.0002953254,0.01441708,0.01940417,0.0004933584,0.0004019586,0.002855249,0.002261566,0.001844563,0.0256026,0.8061941,0.1256985],"study_design_scores_gemma":[0.0003573012,0.0001976423,0.02284629,0.02215368,0.0004172733,0.0004633735,0.001833954,0.0009599015,0.002292716,0.006140566,0.9419969,0.0003402895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.007702403,0.01555374,0.2447116,0.1130675,0.02077655,0.09277471,0.4336114,0.007751754,0.06405033],"genre_scores_gemma":[0.01047502,0.008916784,0.4682571,0.0192786,0.001594277,0.1137282,0.3685108,0.002044605,0.007194681],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.6648709,"threshold_uncertainty_score":0.8199042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0810552788054685,"score_gpt":0.3912881456667224,"score_spread":0.310232866861254,"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."}}