{"id":"W6912111944","doi":"10.5281/zenodo.15218306","title":"Empis (Enoplempis) montgomeryi 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; San Joaquin; Canyon; Syncline","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":[0.0003890093,0.00155282,0.0006710955,0.002936829,0.002757911,0.000911217,0.001174693,0.001292655,0.02118164],"category_scores_gemma":[0.0009094983,0.0005177907,0.0002414194,0.002436288,0.001269675,0.002686853,0.001267876,0.002141229,0.01308267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00213345,"about_ca_system_score_gemma":0.001058967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04832534,"about_ca_topic_score_gemma":0.1019437,"domain_scores_codex":[0.999709,0.00002393825,0.00002522987,0.0001018606,0.0001065881,0.00003339261],"domain_scores_gemma":[0.9996343,0.00005635487,0.0001393662,0.00003919281,0.00008446181,0.00004627931],"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":[0.0003802577,0.0001541018,0.01802948,0.0007606912,0.0001228514,0.00175565,0.001492569,0.0009541825,0.008842892,0.00301771,0.09774831,0.8667412],"study_design_scores_gemma":[0.0001556491,0.0002003327,0.3175273,0.001799397,0.0003156138,0.006435304,0.002005568,0.001228115,0.003213035,0.001905676,0.6651454,0.00006865217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1551909,0.04723876,0.01624716,0.003789761,0.002674939,0.00190493,0.01751774,0.003062277,0.7523735],"genre_scores_gemma":[0.6502784,0.03687937,0.03358932,0.005806074,0.00210986,0.002943413,0.01772258,0.0004450587,0.2502259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04832534,"threshold_uncertainty_score":0.09608817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176016237153596,"score_gpt":0.2447394198575761,"score_spread":0.2271377961422165,"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."}}