{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004726467,0.0007222511,0.0005134722,0.001055808,0.0006640254,0.0007527475,0.0003181752,0.001308629,0.002288479],"category_scores_gemma":[0.008846874,0.000732257,0.0004939177,0.0007158878,0.001050411,0.001255736,0.0004643091,0.0006523575,0.000927176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653502,"about_ca_system_score_gemma":0.0004292424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006867236,"about_ca_topic_score_gemma":0.0008380412,"domain_scores_codex":[0.9979146,0.001108447,0.0002005633,0.0003880639,0.0002242102,0.000164031],"domain_scores_gemma":[0.9925011,0.003095706,0.001960774,0.0009032838,0.0006041548,0.0009351592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1049701,0.00458597,0.8766541,0.0001291085,0.0003075407,0.0003670294,0.0005098973,0.000216501,0.003999456,0.00008112906,0.0002066868,0.007972375],"study_design_scores_gemma":[0.006476273,0.08364374,0.9001279,0.00005448918,0.0005473541,0.002556084,0.0003769257,0.001019962,0.002783088,0.00018143,0.00212962,0.0001030824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985963,0.0004564075,0.0002598893,0.00001959467,0.00002550446,0.000113048,0.0001105324,0.000004769631,0.0004140096],"genre_scores_gemma":[0.9986718,0.0001473111,0.0004177456,0.0000660879,0.00006268592,0.0001208575,0.0001834637,0.000005964435,0.0003241082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004726467,"threshold_uncertainty_score":0.02499628,"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."}}