{"id":"W6893236706","doi":"10.5281/zenodo.15218396","title":"Empis (Enoplempis) spiculata 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; Cave; Meltwater; STREAMS","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":[0.0004601866,0.001636893,0.0006723711,0.00279494,0.002741811,0.0007613301,0.001151523,0.0009881444,0.01712002],"category_scores_gemma":[0.001014551,0.0004393776,0.0003519098,0.002337571,0.001097206,0.002670789,0.001196953,0.002037926,0.01169327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373827,"about_ca_system_score_gemma":0.001168703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03433532,"about_ca_topic_score_gemma":0.08307943,"domain_scores_codex":[0.9996959,0.00002310962,0.00003147984,0.00009343639,0.0001266659,0.00002945439],"domain_scores_gemma":[0.9996043,0.00006398417,0.0001064637,0.00004429494,0.0001257446,0.00005534893],"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":[0.0002596979,0.0001718425,0.01712153,0.001041855,0.0001499881,0.002682377,0.001751331,0.00149347,0.008911705,0.003323309,0.1142454,0.8488474],"study_design_scores_gemma":[0.0001679176,0.0002716758,0.2183486,0.001987292,0.0003649254,0.009078152,0.002668502,0.002043085,0.003990199,0.002765728,0.758233,0.00008096401],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1675494,0.02734945,0.01732683,0.002960426,0.003579818,0.002543262,0.02244335,0.002601801,0.7536457],"genre_scores_gemma":[0.6597088,0.02856469,0.04221996,0.005348107,0.001570711,0.003245992,0.02355463,0.0006322392,0.2351548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03433532,"threshold_uncertainty_score":0.06827092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906213321406474,"score_gpt":0.2492936425830885,"score_spread":0.2302315093690238,"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."}}