{"id":"W6968273578","doi":"10.5281/zenodo.15218346","title":"Empis (Enoplempis) safra Sinclair, Brooks & Cumming, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Holotype; Seta; Wing; Dorsum; Sternum","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":[],"consensus_categories":[],"category_scores_codex":[0.0005242447,0.002344563,0.0008826997,0.00323696,0.003006456,0.001059972,0.001572402,0.001785156,0.03472199],"category_scores_gemma":[0.001144761,0.0006084478,0.0003568652,0.002327632,0.001256446,0.003393261,0.001267544,0.002700456,0.02693728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626107,"about_ca_system_score_gemma":0.001107902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02956842,"about_ca_topic_score_gemma":0.05515623,"domain_scores_codex":[0.9995197,0.00003739426,0.00004739856,0.0001795039,0.0001641974,0.00005182146],"domain_scores_gemma":[0.9994771,0.00006610336,0.0001572731,0.00007106954,0.0001686462,0.00005990616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003381832,0.0002371734,0.01057016,0.0006778422,0.0001038819,0.00185329,0.00111688,0.000931157,0.007710911,0.003128828,0.1058672,0.8674644],"study_design_scores_gemma":[0.0001634066,0.0002824482,0.1351506,0.00142364,0.0002947969,0.00747053,0.001831214,0.001301731,0.003921714,0.001690273,0.8463966,0.00007304755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1037846,0.02410345,0.01611099,0.003013197,0.003902913,0.002841629,0.0202396,0.003592526,0.8224111],"genre_scores_gemma":[0.4773831,0.02514511,0.04920795,0.005654161,0.002093314,0.003445712,0.02666688,0.0007284534,0.4096752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03472199,"threshold_uncertainty_score":0.1161566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486636801180693,"score_gpt":0.2514782501090476,"score_spread":0.2266118820972406,"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."}}