{"id":"W6911788919","doi":"10.5281/zenodo.15218332","title":"Empis (Enoplempis) chillcotti Sinclair, Brooks & Cumming, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Holotype; Terrace (agriculture); Peninsula; Undergrowth; Bay","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002402754,0.001682233,0.0005983924,0.002259613,0.003217942,0.0009146725,0.001081619,0.0009798048,0.02343018],"category_scores_gemma":[0.000701958,0.0004650186,0.0002291914,0.002168542,0.001123718,0.001791184,0.001068511,0.002141735,0.01463133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002316554,"about_ca_system_score_gemma":0.001605023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1304554,"about_ca_topic_score_gemma":0.2527609,"domain_scores_codex":[0.999734,0.00001363498,0.00001928481,0.00008037608,0.0001182758,0.00003450766],"domain_scores_gemma":[0.999678,0.00003524574,0.00008360494,0.00003486396,0.0001122868,0.00005603274],"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":[0.0003059253,0.0001553806,0.01975395,0.000863612,0.0001054146,0.002934504,0.001958207,0.0008956576,0.01050339,0.003040018,0.1407677,0.8187162],"study_design_scores_gemma":[0.0001283691,0.0001853915,0.2910018,0.001542193,0.0002937008,0.008432643,0.002758497,0.0009885204,0.00368632,0.001374889,0.6895365,0.00007116634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1222007,0.02280251,0.008983255,0.001936821,0.002682436,0.002112991,0.01820679,0.001785597,0.8192889],"genre_scores_gemma":[0.5729429,0.02580277,0.02717729,0.004671533,0.001265557,0.002092103,0.02101631,0.0004808282,0.3445508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1304554,"threshold_uncertainty_score":0.2593921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595916223992081,"score_gpt":0.2471195545924896,"score_spread":0.2211603923525688,"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."}}