{"id":"W2997729525","doi":"10.1002/9780471420194.tnmc04.pub2","title":"Pharynx","year":2010,"lang":"en","type":"other","venue":"TNM Online","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Grading (engineering); Distant metastasis; Pathological; Lymph node metastasis; Stage (stratigraphy); Lymph node; Metastasis; Medicine; Lymph; Cancer; Pathology; Internal medicine; Biology; Paleontology; Ecology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007549497,0.0001936747,0.0003977786,0.0001782189,0.00001787342,0.000009037345,0.0001201101,0.0002998381,0.06210227],"category_scores_gemma":[0.0002334458,0.0001530253,0.00009933096,0.00008030544,0.00009404538,0.000007194355,0.00004056699,0.00129142,0.0004499535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001341151,"about_ca_system_score_gemma":0.00009171417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001113117,"about_ca_topic_score_gemma":0.00004009606,"domain_scores_codex":[0.9991534,0.00001240155,0.0001520862,0.0002499407,0.0002232914,0.0002088496],"domain_scores_gemma":[0.9992852,0.00002576021,0.0001001465,0.0003715153,0.00001774499,0.0001996114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007011169,0.0001197732,0.0001214439,0.00009403285,0.00005588956,0.0001185421,0.000008324103,4.941301e-8,0.0003927429,0.00003706359,0.9333215,0.06572367],"study_design_scores_gemma":[0.0006767591,0.00004057398,0.0002316334,0.0003781063,0.0001010827,0.0001107828,0.000002879571,0.0005326588,0.000009391733,0.00002100426,0.9977484,0.0001466907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001894485,0.0009070618,0.0002065911,0.004283855,0.0009499957,0.0002366943,0.0004160694,0.0005012185,0.9923091],"genre_scores_gemma":[0.0000720487,0.0002815372,0.01844993,0.002857362,0.004116378,0.000005223965,0.002344778,0.0005433022,0.9713295],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06557697,"threshold_uncertainty_score":0.9387551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011731476542667,"score_gpt":0.3229238014693316,"score_spread":0.312806486703905,"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."}}