{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002316619,0.0005785272,0.0003789766,0.0007956166,0.0005713549,0.001304747,0.0003936341,0.0005002836,0.253139],"category_scores_gemma":[0.0005915403,0.0001320584,0.0004764357,0.0006616625,0.0001941524,0.0007598077,0.0008627068,0.0006844619,0.1301736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004216943,"about_ca_system_score_gemma":0.0007043318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001988258,"about_ca_topic_score_gemma":0.002403594,"domain_scores_codex":[0.9998538,0.00001418967,0.00001330193,0.00002785325,0.00006608119,0.00002475685],"domain_scores_gemma":[0.9998896,0.00001085903,0.00001036645,0.00001975128,0.00004176754,0.0000277342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002200483,0.00007200805,0.003418047,0.0006696556,0.00002494339,0.002509674,0.0001083425,0.000228461,0.00519138,0.008576691,0.3244394,0.6545414],"study_design_scores_gemma":[0.00002141393,0.00007830763,0.007260384,0.0003171804,0.00001849868,0.006067337,0.00008993285,0.0001581865,0.001638892,0.001993837,0.982345,0.00001101681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01506537,0.01678259,0.01127772,0.003009243,0.003674333,0.0003461542,0.02325305,0.002004751,0.9245868],"genre_scores_gemma":[0.05629602,0.0106672,0.009486409,0.002125852,0.0009824526,0.0001904278,0.01701527,0.0006942831,0.9025421],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.746861,"threshold_uncertainty_score":0,"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."}}