{"id":"W4213208144","doi":"10.3390/curroncol29020091","title":"CT and 3 Tesla MRI in the TN Staging of Colon Cancer: A Prospective, Blind Study","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Colorectal cancer; Cancer; Radiology; Prospective cohort study; Nuclear medicine; Medical physics; Pathology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000972389,0.00007802532,0.0002830954,0.0001207851,0.0001028811,0.00000575528,0.0001164847,0.000009323728,0.0001056876],"category_scores_gemma":[0.0001196561,0.00005657667,0.00002639453,0.0002612453,0.000112572,0.0000172176,0.000126403,0.0007557206,3.510987e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835666,"about_ca_system_score_gemma":0.0001837906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001817439,"about_ca_topic_score_gemma":0.00003492078,"domain_scores_codex":[0.9989076,0.0002819632,0.0002163054,0.0002035552,0.0002246634,0.0001658592],"domain_scores_gemma":[0.999494,0.0002026449,0.0001030397,0.0001291169,0.0000291063,0.00004214954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001742859,0.001435364,0.9192113,0.0000543952,0.00002986531,0.00009767827,0.006214945,0.00005921202,0.00007552886,0.0001271823,0.002694505,0.06982579],"study_design_scores_gemma":[0.01561781,0.004334714,0.6299546,0.0000941769,0.0002516906,0.0002506556,0.0182281,0.01886005,0.00001750587,0.0003393904,0.3118678,0.0001834904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910094,0.001943878,0.00002664317,0.004133669,0.000455639,0.0009102237,0.000004696011,0.00001115505,0.001504717],"genre_scores_gemma":[0.9990292,0.000228692,0.0000631381,0.0002494696,0.00008471166,0.0002650207,0.000003495041,0.000008476019,0.00006785017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3091733,"threshold_uncertainty_score":0.3283272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05712746829958972,"score_gpt":0.4365877964837132,"score_spread":0.3794603281841235,"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."}}