{"id":"W2793535426","doi":"10.1016/j.mpdhp.2018.02.001","title":"The contribution of molecular pathology to the classification of thyroid tumors","year":2018,"lang":"en","type":"article","venue":"Diagnostic histopathology","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"National Cancer Institute; National Institutes of Health","keywords":"Thyroid; Thyroid carcinoma; Pathology; Follicular cell; Thyroid cancer; Thyroid neoplasm; Follicular phase; Molecular pathology; Medicine; Genotyping; Adenoma; Neoplasm; Biology; Cancer research; Internal medicine; Gene; Genotype; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.005648688,0.0005231201,0.0004906354,0.006019506,0.0007340627,0.00380236,0.001510267,0.0008608485,0.001209086],"category_scores_gemma":[0.01237222,0.0004034873,0.0005775784,0.001379062,0.002274306,0.002855771,0.001141322,0.00152481,0.0007723192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425318,"about_ca_system_score_gemma":0.00127438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002355429,"about_ca_topic_score_gemma":0.00306707,"domain_scores_codex":[0.9977197,0.0006205545,0.0002441039,0.00024831,0.0009600087,0.0002072445],"domain_scores_gemma":[0.9932224,0.002661784,0.001033112,0.0007723343,0.002014991,0.0002953591],"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":[0.0003880968,0.0001148195,0.3599965,0.0006770237,0.0002285333,0.00162751,0.0005123603,0.003263387,0.04877048,0.0130879,0.005206641,0.5661266],"study_design_scores_gemma":[0.00007903816,0.0007733974,0.6179191,0.001483447,0.0009705042,0.05284143,0.002741973,0.04790339,0.03951959,0.06775857,0.1677588,0.0002508144],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6225032,0.2212455,0.07878802,0.03216308,0.002862328,0.0002126672,0.0008133079,0.0006070454,0.04080486],"genre_scores_gemma":[0.9135542,0.04025527,0.03922065,0.001757507,0.002614672,0.00005392935,0.0004753631,0.00009306373,0.001975408],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006019506,"threshold_uncertainty_score":0.02987349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009432702957961819,"score_gpt":0.2683556885209857,"score_spread":0.2589229855630238,"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."}}