{"id":"W3012388037","doi":"10.3390/app10061988","title":"Radiomics and Machine Learning in Anal Squamous Cell Carcinoma: A New Step for Personalized Medicine?","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Colorectal and Anal Carcinomas","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Radiomics; Magnetic resonance imaging; Positron emission tomography; Radiology; Medical physics; Oncology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002661621,0.0001213899,0.0002934323,0.00009439617,0.0001287826,0.00001763117,0.00009776434,0.00003961804,0.00005923193],"category_scores_gemma":[0.00008977163,0.00008865406,0.00003995001,0.0004465313,0.0003047493,0.00003563693,0.00004022735,0.0001598346,0.000002805378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000174707,"about_ca_system_score_gemma":0.0001492839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002843282,"about_ca_topic_score_gemma":0.0001055264,"domain_scores_codex":[0.999,0.00001351817,0.0001751382,0.0003518911,0.0002249848,0.0002345398],"domain_scores_gemma":[0.9994949,0.0001513588,0.00005319071,0.00004371225,0.00001562359,0.0002412653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004827793,0.0002210322,0.6124483,0.001037982,0.00002709467,0.0001838679,0.03389318,0.0002232894,0.2764091,0.02272879,0.007070085,0.04092946],"study_design_scores_gemma":[0.0798241,0.022863,0.2527386,0.0001798018,0.00078741,0.0003502322,0.04731926,0.4531738,0.02412841,0.003894464,0.1123934,0.002347508],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823042,0.002013304,0.0006308462,0.007524595,0.00003204071,0.000377256,0.000002360978,0.00003294681,0.007082496],"genre_scores_gemma":[0.9967328,0.00001434375,0.001226446,0.001321176,0.0002187053,0.00001173463,0.000007280642,0.000007866588,0.0004596985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4529505,"threshold_uncertainty_score":0.3615207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04384226305616106,"score_gpt":0.2606833116414168,"score_spread":0.2168410485852557,"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."}}