{"id":"W6968222132","doi":"10.5281/zenodo.15218576","title":"Empis (Enoplempis) susanae 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; Subgenus; Dorsum; Thorax (insect anatomy); Ridge","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":[0.0004102795,0.001553294,0.0008478675,0.002425332,0.003100255,0.001013201,0.001205923,0.001397001,0.02695663],"category_scores_gemma":[0.001168977,0.000460468,0.0003118826,0.002138034,0.001212047,0.003090382,0.001470253,0.002611009,0.01902816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524476,"about_ca_system_score_gemma":0.001295308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02549418,"about_ca_topic_score_gemma":0.05471501,"domain_scores_codex":[0.9995136,0.00004467577,0.00005297583,0.0001403999,0.0002019606,0.00004636145],"domain_scores_gemma":[0.9995698,0.00007309647,0.0001073911,0.00005453973,0.0001391159,0.00005608345],"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":[0.0002763296,0.0001583816,0.009953199,0.0009492388,0.0001133607,0.002103032,0.001727037,0.001134243,0.00701252,0.005506422,0.1207535,0.8503127],"study_design_scores_gemma":[0.0001225061,0.0001999247,0.0858444,0.001556103,0.0002320225,0.007449071,0.002649385,0.000899045,0.002596038,0.002266453,0.8961266,0.00005847958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09257598,0.02845159,0.01740212,0.003073076,0.004983806,0.002423886,0.01661843,0.00165383,0.8328173],"genre_scores_gemma":[0.5217903,0.03600182,0.04561162,0.005671484,0.001904644,0.003393242,0.01967981,0.0005160184,0.365431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02695663,"threshold_uncertainty_score":0.09017897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781611470829821,"score_gpt":0.2479327978337086,"score_spread":0.2301166831254104,"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."}}