{"id":"W6949734281","doi":"10.5281/zenodo.15218400","title":"Empis (Enoplempis) tripenicillata Sinclair, Brooks & Cumming, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Bay; Holotype; Confluence; West coast","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003663599,0.001476018,0.0006266906,0.002670876,0.003179804,0.0008965078,0.001304863,0.00102225,0.01619961],"category_scores_gemma":[0.000835446,0.000445058,0.0002972313,0.002255108,0.001208251,0.002206531,0.001184091,0.002062656,0.0116699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002026371,"about_ca_system_score_gemma":0.001425692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08132897,"about_ca_topic_score_gemma":0.1936445,"domain_scores_codex":[0.9996223,0.00002728809,0.00003708396,0.0001336306,0.0001399349,0.00003975839],"domain_scores_gemma":[0.9996229,0.00004875546,0.0000947101,0.00004873974,0.0001349691,0.0000497499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000277719,0.0001340575,0.01482005,0.001033246,0.000166874,0.002317513,0.001681061,0.00111551,0.009607823,0.003474487,0.09887914,0.8664926],"study_design_scores_gemma":[0.0001110935,0.0001694304,0.1928499,0.001599327,0.0003904657,0.009592157,0.002560577,0.001081331,0.003519038,0.001353456,0.7866896,0.00008352196],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1307529,0.02785939,0.01436798,0.002252439,0.00284816,0.002170068,0.02157916,0.002030155,0.7961398],"genre_scores_gemma":[0.6429102,0.02727425,0.03940062,0.004844233,0.001129276,0.002712161,0.02521378,0.0005266066,0.2559889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08132897,"threshold_uncertainty_score":0.1617112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076344844737038,"score_gpt":0.2520967637189332,"score_spread":0.2313333152715629,"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."}}