{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001585291,0.000239918,0.0002435076,0.0000216292,0.0001999811,0.0006401716,0.001860565,0.0001833213,0.0002869233],"category_scores_gemma":[0.0001730875,0.0002060103,0.00009160343,0.0001760644,0.0001567174,0.00003746963,0.003439422,0.0001623632,0.00001136169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502812,"about_ca_system_score_gemma":0.0005002354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007394909,"about_ca_topic_score_gemma":0.0004184064,"domain_scores_codex":[0.9979442,0.00005898159,0.0003467043,0.0004640683,0.0007195821,0.0004664269],"domain_scores_gemma":[0.9989877,0.00002892868,0.000130902,0.0005532953,0.0001592735,0.0001398368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005429212,0.0004511731,0.05324857,0.001451118,0.001024201,0.00006454305,0.0007758197,0.0006352764,0.2651282,0.0007361712,0.4150268,0.2609153],"study_design_scores_gemma":[0.001089988,0.0001423262,0.005846953,0.0003763441,0.00007105726,8.264422e-7,0.0008199594,0.00007631707,0.5244113,0.0002083253,0.4665805,0.0003760434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5312691,0.1395502,0.01915723,0.01375663,0.003525671,0.004930542,0.00209186,0.00006135242,0.2856575],"genre_scores_gemma":[0.9263741,0.05925836,0.001027545,0.007391474,0.0003143962,0.0006455964,0.0001934985,0.0000423317,0.004752708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.395105,"threshold_uncertainty_score":0.8400858,"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."}}