{"id":"W6931618824","doi":"10.5281/zenodo.8319489","title":"Lasioglossum (Dialictus) angelicum Gardner & Gibbs 2023, sp. nov.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dorsum; Scutellum; Posterior segment of eyeball; Margin (machine learning); Posterior wall","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":[0.0001583814,0.0008354612,0.0002760342,0.001410635,0.001130811,0.0004752163,0.000429679,0.0004857706,0.007076888],"category_scores_gemma":[0.0004514821,0.0002140422,0.0001888848,0.001003324,0.0007099684,0.0009384777,0.0008804003,0.00074389,0.003592426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140077,"about_ca_system_score_gemma":0.0006770723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03077467,"about_ca_topic_score_gemma":0.08132888,"domain_scores_codex":[0.9998771,0.00001100303,0.00001392992,0.00004319522,0.00003791841,0.00001681038],"domain_scores_gemma":[0.9998493,0.00002524353,0.00005680768,0.00001214971,0.00003404892,0.00002237619],"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":[0.0004995504,0.0001286211,0.06212275,0.00125542,0.0001304858,0.003514941,0.002513505,0.002377965,0.0402041,0.003603082,0.03506054,0.848589],"study_design_scores_gemma":[0.0002886024,0.0005152886,0.4001302,0.001115279,0.00053856,0.011134,0.003853196,0.002099533,0.005688048,0.002070915,0.572475,0.0000913461],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.600778,0.0228672,0.01347857,0.002225566,0.001889357,0.001108859,0.01591647,0.002283063,0.339453],"genre_scores_gemma":[0.9237783,0.008561993,0.01068411,0.002094534,0.0002694021,0.0005278481,0.007937159,0.0001379746,0.04600867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03077467,"threshold_uncertainty_score":0.06119102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09196190144040452,"score_gpt":0.2746731420409912,"score_spread":0.1827112406005867,"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."}}