{"id":"W6949706155","doi":"10.5281/zenodo.15218275","title":"Empis (Enoplempis) arrecta 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":"Holotype; Femur; Seta; Apex (geometry); Tibia; Thorax (insect anatomy)","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":[0.0004329638,0.001601315,0.0006777612,0.002462801,0.002942144,0.0008623522,0.001191285,0.001099325,0.02273868],"category_scores_gemma":[0.0008548138,0.000452171,0.0003296492,0.001845549,0.0009754103,0.002377617,0.001118058,0.002450892,0.01686202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618464,"about_ca_system_score_gemma":0.001412736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05815665,"about_ca_topic_score_gemma":0.12793,"domain_scores_codex":[0.9996358,0.00002850804,0.00003478776,0.0001224939,0.0001391804,0.00003915126],"domain_scores_gemma":[0.999611,0.00004380415,0.00009934865,0.00004598163,0.0001519968,0.00004785735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003416663,0.0001905288,0.0152897,0.0009374953,0.000135585,0.002233151,0.001400902,0.001055623,0.008868891,0.003814762,0.1612085,0.8045232],"study_design_scores_gemma":[0.0001291693,0.0001963124,0.1735957,0.001240487,0.0002731343,0.006254518,0.001774268,0.0009045512,0.002311003,0.001300718,0.8119617,0.00005840592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09798365,0.02279424,0.01188031,0.002507623,0.002909515,0.00229931,0.02153345,0.002765592,0.8353263],"genre_scores_gemma":[0.4929001,0.02517469,0.04468805,0.005435119,0.001670039,0.003075787,0.03274655,0.0007387477,0.393571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05815665,"threshold_uncertainty_score":0.1156363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753500845164469,"score_gpt":0.2464411973451036,"score_spread":0.2289061888934589,"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."}}