{"id":"W6931022459","doi":"10.5281/zenodo.16566502","title":"CITAC NEWS 2025","year":2025,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"HER2/EGFR in Cancer Research","field":"Medicine","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":["insufficient_payload"],"category_scores_codex":[0.002747686,0.001611307,0.0007110389,0.003282357,0.002205994,0.009189624,0.002295062,0.00555936,0.379663],"category_scores_gemma":[0.006479819,0.0005751476,0.001048423,0.003291121,0.0005174061,0.00216545,0.001860099,0.003495135,0.3994108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003724145,"about_ca_system_score_gemma":0.01096722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03088008,"about_ca_topic_score_gemma":0.04417624,"domain_scores_codex":[0.9957049,0.0002531728,0.0001290491,0.0002770297,0.003143174,0.0004926138],"domain_scores_gemma":[0.9956162,0.0003596224,0.0002057482,0.0002609209,0.002679707,0.0008777884],"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":[0.00001395435,0.000009744753,0.00002419747,0.00003477093,8.965716e-7,0.00001910756,0.000004620688,0.00001254642,0.00004870825,0.0005822742,0.9938911,0.005358105],"study_design_scores_gemma":[0.000005897969,0.000008357599,0.0001488321,0.0000309063,0.000001066172,0.00001775726,0.00001362155,0.00001827981,0.00006999448,0.0001611202,0.9995211,0.000003088693],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005727192,0.003655717,0.0007655239,0.01447753,0.02877061,0.0004523118,0.03779754,0.002613293,0.9108948],"genre_scores_gemma":[0.001393495,0.001475461,0.000783057,0.00456348,0.001418074,0.0002322047,0.03071065,0.0006431243,0.9587805],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.620337,"threshold_uncertainty_score":0.8848355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112691369071809,"score_gpt":0.3648266176713024,"score_spread":0.2521352485994934,"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."}}