{"id":"W6930493218","doi":"10.5281/zenodo.16417334","title":"CITAC NEWS 2025","year":2025,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Traceability; Comparability; Key (lock); Standardization; Consistency (knowledge bases)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002937343,0.001702186,0.0007070252,0.00284873,0.002120312,0.01056096,0.002338911,0.005913577,0.3836141],"category_scores_gemma":[0.006310395,0.0005553322,0.001048382,0.002860443,0.0005498011,0.002526696,0.00197829,0.00365099,0.4220404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003801723,"about_ca_system_score_gemma":0.01004018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02298956,"about_ca_topic_score_gemma":0.0339862,"domain_scores_codex":[0.9956617,0.0002626455,0.0001289022,0.0003073368,0.003114181,0.0005253194],"domain_scores_gemma":[0.9952141,0.0003329481,0.0001863497,0.0002945551,0.002989819,0.0009822155],"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":[0.00001856015,0.00001064458,0.00002628114,0.00003665016,0.000001037115,0.00002655233,0.000005003669,0.00001569675,0.00007517599,0.0008339565,0.9935117,0.005438758],"study_design_scores_gemma":[0.000005975597,0.000007921796,0.0001355595,0.0000261896,0.000001029584,0.00002021688,0.00001479979,0.00001942861,0.00008671866,0.0002089821,0.9994698,0.000003274969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006828639,0.00341388,0.001040459,0.01792382,0.03816423,0.0004255987,0.03091646,0.002702896,0.9047298],"genre_scores_gemma":[0.001352167,0.001101017,0.0008293092,0.004663192,0.001451002,0.0001760212,0.02276365,0.000665762,0.9669979],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3836141,"threshold_uncertainty_score":0.8791996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03091800423187585,"score_gpt":0.2668442142834809,"score_spread":0.235926210051605,"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."}}