{"id":"W4414751404","doi":"10.1093/noajnl/vdaf189","title":"Global insights into brain tumor registries: Lessons for countries establishing a national brain tumor registry","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Neurological Foundation of New Zealand; University of Auckland","keywords":"Context (archaeology); Government (linguistics); Population; Brain tumor; Brain function; Narrative; Function (biology)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002729142,0.0002676478,0.0003311719,0.0000766533,0.0003631415,0.0001057482,0.0004687877,0.0001832129,0.000006546599],"category_scores_gemma":[0.006592123,0.000283885,0.0001258808,0.0002515756,0.0004260001,0.00002972909,0.0002278878,0.0001474257,0.000002972303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002351552,"about_ca_system_score_gemma":0.001789433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004611663,"about_ca_topic_score_gemma":0.002049462,"domain_scores_codex":[0.9982237,0.00009158511,0.000399236,0.0007231137,0.0001787597,0.0003835814],"domain_scores_gemma":[0.997739,0.001159286,0.0002764185,0.000363813,0.0003620375,0.00009950034],"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":[0.001879423,0.0003051826,0.005284682,0.0003563114,0.0001777042,0.0001073107,0.0002093606,0.002228876,0.1041181,0.145386,0.7326068,0.007340234],"study_design_scores_gemma":[0.001332799,0.0004403064,0.0004430038,0.0000321458,0.00002650031,0.00003959374,0.0002239574,0.00009572055,0.01441114,0.02157236,0.961129,0.0002535461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6456037,0.05086787,0.04968265,0.1957495,0.009686766,0.003331149,0.00251303,0.0002685972,0.04229668],"genre_scores_gemma":[0.9282227,0.001879697,0.004449526,0.06120532,0.001546795,0.0006238858,0.0006105887,0.00005618179,0.001405338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2826189,"threshold_uncertainty_score":0.9999613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001257993088306,"score_gpt":0.3146601961455582,"score_spread":0.3046476162146751,"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."}}