{"id":"W6968638532","doi":"10.5281/zenodo.15218417","title":"Empis (Enoplempis) subgeneatis 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; Seta; Dorsum; Wing; Femur","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":[0.0004074459,0.001384113,0.0006368261,0.002634675,0.003021293,0.0008441636,0.00123863,0.001291823,0.02401053],"category_scores_gemma":[0.001003849,0.0004618766,0.0002862034,0.002310292,0.001341619,0.002648839,0.001120243,0.002135277,0.01374932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875685,"about_ca_system_score_gemma":0.001637786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03152343,"about_ca_topic_score_gemma":0.06952359,"domain_scores_codex":[0.9996079,0.00003392254,0.00004473555,0.0001333206,0.0001348335,0.00004537468],"domain_scores_gemma":[0.999549,0.00006669234,0.0001334741,0.0000697409,0.0001347209,0.00004638503],"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":[0.0003319388,0.0002068124,0.01629428,0.0009587599,0.0001338214,0.001945378,0.002373021,0.001132827,0.009835487,0.005811084,0.09931773,0.8616588],"study_design_scores_gemma":[0.0001074016,0.0002069072,0.1485119,0.001320377,0.0002584205,0.006455684,0.002142868,0.0009315518,0.003081011,0.002110297,0.8348192,0.00005448292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1460478,0.02600629,0.02043956,0.002962021,0.00381051,0.003415048,0.02235709,0.002386744,0.772575],"genre_scores_gemma":[0.5549193,0.0239646,0.04898681,0.004623001,0.001710064,0.003927809,0.02507491,0.0006469032,0.3361466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03152343,"threshold_uncertainty_score":0.08032328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784584914590247,"score_gpt":0.2456760601970397,"score_spread":0.2278302110511373,"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."}}