{"id":"W4415382904","doi":"10.56367/oag-048-12060","title":"Cancer care through molecular diagnostics: Addressing papillary thyroid cancer","year":2025,"lang":"en","type":"article","venue":"Open Access Government","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Papillary thyroid cancer; Thyroid cancer; Cancer; Incidence (geometry); Harm; Papillary carcinoma","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004957687,0.0006331495,0.0006003381,0.001627124,0.002270391,0.004617968,0.001607537,0.006181142,0.02635959],"category_scores_gemma":[0.01637192,0.0004365387,0.0009265106,0.00129492,0.002108605,0.004047864,0.005197431,0.009710737,0.007001474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005766583,"about_ca_system_score_gemma":0.01251784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128319,"about_ca_topic_score_gemma":0.03116626,"domain_scores_codex":[0.996655,0.0008766653,0.0001928634,0.0003379137,0.001257713,0.0006798388],"domain_scores_gemma":[0.9826133,0.004428725,0.0009474635,0.0004394509,0.004440691,0.007130377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008547349,0.000114367,0.003381819,0.0006444495,0.00004960327,0.0003359097,0.0003931503,0.0001538132,0.00110526,0.008875323,0.707671,0.2771899],"study_design_scores_gemma":[0.00008919358,0.0002040519,0.004665748,0.001556213,0.00007418035,0.0006986742,0.0006480076,0.0002225235,0.0006890778,0.01258257,0.9785235,0.00004628215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002609602,0.05727694,0.004551177,0.8838964,0.01469765,0.0001163008,0.0004231989,0.0006706399,0.03575805],"genre_scores_gemma":[0.04721465,0.1855094,0.02391588,0.6307248,0.03721069,0.0002929246,0.001224123,0.0007724276,0.07313506],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02635959,"threshold_uncertainty_score":0.08818161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378596081174497,"score_gpt":0.4049481191635311,"score_spread":0.3670885110460814,"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."}}