{"id":"W4244002640","doi":"10.31525/ct1-nct03859349","title":"The Canada Lymph Node Score","year":2019,"lang":"en","type":"article","venue":"Case Medical Research","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lymph node; Medicine; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002116474,0.0001000119,0.0001858021,0.00006626071,0.0003733947,0.00004135568,0.0002500325,0.00008391364,0.00338533],"category_scores_gemma":[0.003043064,0.00005384054,0.00005457459,0.0004022616,0.00035874,0.00002525023,0.0001996241,0.0008562939,0.0005626463],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009015189,"about_ca_system_score_gemma":0.009666812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5419643,"about_ca_topic_score_gemma":0.3958291,"domain_scores_codex":[0.9944868,0.0002417304,0.000182383,0.0002954319,0.003885128,0.0009085311],"domain_scores_gemma":[0.9959835,0.0016742,0.00001418754,0.000609459,0.0003471422,0.001371559],"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":[0.0009435243,0.0002343305,0.1357277,0.0003504253,0.0002155034,0.317616,0.00008768954,9.00812e-7,0.00004313961,0.002539081,0.1301027,0.4121389],"study_design_scores_gemma":[0.01084916,0.001505113,0.06393616,0.0007540272,0.0000406705,0.02667456,0.001682424,0.002389048,0.002399814,0.0005700822,0.8888745,0.0003243941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943172,0.009061807,0.00000337211,0.02726022,0.0002137482,0.0006883205,0.00001149627,0.00002032277,0.01956876],"genre_scores_gemma":[0.9851123,0.0004911663,0.0000105289,0.0007048282,0.0002600686,0.00009063729,0.00001196128,0.00001856293,0.01329993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7587718,"threshold_uncertainty_score":0.9975257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06986590341391169,"score_gpt":0.4191493702281064,"score_spread":0.3492834668141947,"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."}}