{"id":"W6930584696","doi":"10.5281/zenodo.15218540","title":"Empis (Enoplempis) genista Sinclair, Brooks & Cumming, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Holotype; Subgenus; Taxonomy (biology); Genus","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":[0.0005992193,0.002053344,0.0009010436,0.003678778,0.003661725,0.00118619,0.001355983,0.001638763,0.02763422],"category_scores_gemma":[0.001129492,0.0006339496,0.0004240323,0.002779538,0.001241609,0.002968564,0.001382067,0.002405182,0.02545755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944067,"about_ca_system_score_gemma":0.001624207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04023081,"about_ca_topic_score_gemma":0.08167422,"domain_scores_codex":[0.9994586,0.00005755324,0.00005412497,0.0001979226,0.0001733285,0.00005848478],"domain_scores_gemma":[0.9993628,0.00007802098,0.0001948491,0.00009069532,0.0001993575,0.00007429919],"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":[0.000303411,0.0001522904,0.01161577,0.001158165,0.0001079523,0.001641739,0.001339519,0.0008473353,0.004187176,0.004392126,0.1998217,0.7744328],"study_design_scores_gemma":[0.00006866791,0.0001035064,0.06423227,0.001309744,0.000145915,0.004075255,0.000940519,0.0004555695,0.001180544,0.001102579,0.9263502,0.00003522956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06097196,0.04978273,0.02056823,0.003658559,0.005145172,0.00300081,0.03787453,0.003473486,0.8155245],"genre_scores_gemma":[0.3297259,0.05267501,0.08242351,0.007523192,0.003099768,0.00483133,0.04633667,0.001344946,0.4720397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04023081,"threshold_uncertainty_score":0.09244573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297547784377425,"score_gpt":0.2336720831053866,"score_spread":0.2106966052616124,"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."}}