{"id":"W6930785399","doi":"10.5281/zenodo.15218559","title":"Empis (Enoplempis) oregonensis Sinclair, Brooks & Cumming, 2025, sp. nov.","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Holotype; Dorsum; Subgenus; Thorax (insect anatomy); Paratype","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":[0.0004051937,0.00218897,0.0006096247,0.002763745,0.002455923,0.00110473,0.001254316,0.001203763,0.0208108],"category_scores_gemma":[0.0008119325,0.0004620987,0.0003348444,0.002646236,0.001060018,0.003136511,0.001121951,0.002162896,0.01321553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345623,"about_ca_system_score_gemma":0.001102037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03926747,"about_ca_topic_score_gemma":0.09305052,"domain_scores_codex":[0.9996964,0.00001880478,0.00004334643,0.00009686533,0.0001121547,0.0000325131],"domain_scores_gemma":[0.9996525,0.00005516447,0.0001075353,0.00004022754,0.00009494695,0.00004964439],"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":[0.0005248351,0.0003628794,0.03915109,0.001476643,0.0002365931,0.004699626,0.001675937,0.001616461,0.01482587,0.003666102,0.111738,0.8200259],"study_design_scores_gemma":[0.0002645649,0.0003320366,0.2523216,0.002451739,0.0005376614,0.01108677,0.003707995,0.001413077,0.00438891,0.001979729,0.7214156,0.0001002718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1765887,0.01744042,0.0140707,0.002948938,0.003505165,0.003022611,0.03824586,0.002126138,0.7420514],"genre_scores_gemma":[0.5791574,0.03192243,0.03901241,0.004237142,0.001730596,0.004143658,0.05161135,0.0004707098,0.2877144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03926747,"threshold_uncertainty_score":0.07807785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0600614501059622,"score_gpt":0.314497461071337,"score_spread":0.2544360109653748,"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."}}