{"id":"W2081493178","doi":"10.1016/j.mpdhp.2010.12.006","title":"Molecular pathology of thyroid cancer","year":2011,"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":"University Health Network","funders":"","keywords":"Thyroid cancer; Pathology; Molecular pathology; Thyroid; Medicine; Cancer; Biology; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001072135,0.0001897782,0.0005265733,0.0001440501,0.00003210663,0.000001222094,0.0001098882,0.0001468079,0.0008878812],"category_scores_gemma":[0.000362991,0.0001670859,0.0001519312,0.0001439653,0.0002872659,0.00002570584,0.00004930448,0.0001379945,0.00007460221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009318058,"about_ca_system_score_gemma":0.0001320756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002476546,"about_ca_topic_score_gemma":0.00003585373,"domain_scores_codex":[0.9987571,0.00007732135,0.0003485264,0.0003690038,0.0001326345,0.0003153622],"domain_scores_gemma":[0.9989402,0.0001938764,0.00015014,0.0004595989,0.0001199926,0.0001361418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004284414,0.003046307,0.8337088,0.0002210513,0.0001498955,0.0195266,0.004934609,0.00001256003,0.09115037,0.01979357,0.005281202,0.02174662],"study_design_scores_gemma":[0.002857344,0.00223705,0.9044309,0.00013714,0.0006566496,0.0009389973,0.0001089913,0.000004427021,0.08342037,0.001069045,0.003874521,0.0002645992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699846,0.01549558,0.000278834,0.0004478124,0.0004900776,0.0003732404,0.00004063605,0.00005680945,0.01283239],"genre_scores_gemma":[0.9954897,0.001794167,0.00115786,0.0009699281,0.00005206995,0.0003627494,0.00001777867,0.00003259734,0.0001231683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07072209,"threshold_uncertainty_score":0.9721677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125705178727091,"score_gpt":0.26510122300126,"score_spread":0.2438441712139891,"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."}}