{"id":"W3137049914","doi":"10.1002/gcc.22949","title":"Histology‐based molecular profiling improves mutation detection for advanced thyroid cancer","year":2021,"lang":"en","type":"article","venue":"Genes Chromosomes and Cancer","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Neuroblastoma RAS viral oncogene homolog; Microsatellite instability; Pathology; Thyroid cancer; Cancer research; Biology; Genetic heterogeneity; Tumour heterogeneity; Molecular pathology; HRAS; Thyroid; Cancer; Mutation; Medicine; Gene; KRAS; Genetics; Allele; Phenotype; Microsatellite","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":[0.00003453758,0.0001757222,0.0002893262,0.00004570712,0.0001176325,0.00001950702,0.00002712087,0.00008539041,0.00006202394],"category_scores_gemma":[0.00001386226,0.0001554829,0.000113213,0.0001295585,0.00004325534,0.00006054395,0.00001513868,0.00006134304,9.191626e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002720536,"about_ca_system_score_gemma":0.0003310505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001188044,"about_ca_topic_score_gemma":0.0002746055,"domain_scores_codex":[0.9990075,0.00001707328,0.0001837279,0.000423212,0.0001237576,0.0002447585],"domain_scores_gemma":[0.9994195,0.00003075139,0.00009210619,0.0001699153,0.000192197,0.00009550396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001635217,0.00007322203,0.00176123,0.0002701253,0.0001278456,0.00003610409,0.00004742374,0.0003138103,0.6455237,0.00004790077,0.00004008757,0.351595],"study_design_scores_gemma":[0.00372542,0.0004024177,0.004040978,0.0001235229,0.0003617297,0.00002837551,0.0001238094,0.00102842,0.9788993,0.00008993903,0.01099184,0.0001842788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277987,0.1681816,0.001161823,0.001663855,0.0004538012,0.0005794833,0.00006957301,0.00004716937,0.00004406448],"genre_scores_gemma":[0.983558,0.01016142,0.00203085,0.0009995776,0.0002246213,0.002649226,0.00008543298,0.00003670396,0.0002541438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3514107,"threshold_uncertainty_score":0.6340408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187512747596092,"score_gpt":0.2922042783212894,"score_spread":0.2803291508453284,"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."}}