{"id":"W4416230235","doi":"10.3390/cancers17223653","title":"Integrating PET and MRI Radiomics for Staging and Prognostic Stratification in Anal Canal Cancer","year":2025,"lang":"en","type":"article","venue":"Cancers","topic":"Colorectal and Anal Carcinomas","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Radiomics; Anal cancer; Anal canal; Risk stratification; Cancer; Stratification (seeds)","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":[],"consensus_categories":[],"category_scores_codex":[0.001499766,0.0003504981,0.0005183734,0.0009574836,0.0001783856,0.001370297,0.0002484991,0.0004967781,0.001412042],"category_scores_gemma":[0.002281976,0.0002143375,0.0004074127,0.001002613,0.0002990348,0.0006908358,0.0003770606,0.0004969953,0.0006127394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003783366,"about_ca_system_score_gemma":0.0004425482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488556,"about_ca_topic_score_gemma":0.004210275,"domain_scores_codex":[0.9996494,0.0001581816,0.00002822842,0.00003591787,0.00007408676,0.00005413918],"domain_scores_gemma":[0.999542,0.0001528136,0.00007729165,0.00003941299,0.0001474148,0.00004108352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001149417,0.0001253652,0.2198581,0.000573927,0.0003183403,0.0005630791,0.0001207253,0.00140291,0.01652843,0.0009156161,0.007576972,0.7508672],"study_design_scores_gemma":[0.0002412942,0.003548166,0.7492847,0.002230251,0.00245959,0.01519274,0.0009470391,0.01484305,0.03637267,0.006103015,0.1685532,0.0002241612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5407439,0.3803025,0.02310778,0.01222786,0.001403033,0.0002285815,0.00198402,0.000555378,0.03944697],"genre_scores_gemma":[0.9037516,0.06993791,0.01929602,0.001470978,0.0009884936,0.00006540884,0.0008689532,0.00007892845,0.003541674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001499766,"threshold_uncertainty_score":0.00793165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496262097590882,"score_gpt":0.2986290196265412,"score_spread":0.2836663986506324,"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."}}