{"id":"W2593926799","doi":"10.1016/j.pathol.2017.01.001","title":"The evolution of differentiated thyroid cancer","year":2017,"lang":"en","type":"review","venue":"Pathology","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Thyroid; Thyroid cancer; Computer science; Profiling (computer programming); Medicine; Computational biology; Pathology; Biology; Internal medicine","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":[0.0001257719,0.0002300111,0.001362669,0.00006822359,0.0001412025,0.000009604212,0.0001937627,0.0002340163,0.00004698809],"category_scores_gemma":[0.00006667312,0.0001178735,0.0004236406,0.00005734683,0.0001863057,0.00001173169,0.00007155168,0.0002141564,0.00003868357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003895092,"about_ca_system_score_gemma":0.0004417429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001768767,"about_ca_topic_score_gemma":0.0001311408,"domain_scores_codex":[0.9988804,0.0001219688,0.0003838227,0.0002709085,0.0001190427,0.0002238176],"domain_scores_gemma":[0.9984292,0.0001206023,0.0005688487,0.0007558172,0.00007251328,0.00005303942],"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":[0.00001472324,0.00009909886,0.0004367321,0.00238966,0.0003412576,0.00005810478,0.00001692935,2.719674e-8,0.000002969369,0.0004670349,0.001066049,0.9951074],"study_design_scores_gemma":[0.0004952697,0.0002146432,0.003503275,0.004634278,0.002732988,0.0001227793,0.000005894969,4.946372e-7,0.000004406947,0.00007286347,0.9881109,0.0001022067],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001092102,0.9973491,0.000006563119,0.0001366484,0.0006635052,0.0006372468,0.00009709704,0.00001858098,0.0009819978],"genre_scores_gemma":[0.001545623,0.9964442,0.000009448195,0.00000958991,0.0001950214,0.0006225066,0.00005828149,0.0000294964,0.001085864],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9950052,"threshold_uncertainty_score":0.4806741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0885812329400974,"score_gpt":0.4101740202952812,"score_spread":0.3215927873551838,"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."}}