{"id":"W6906169333","doi":"10.15468/saq3e8","title":"Revision of Nearctic Microcercis Beschovski (Diptera: Chloropidae), with Synonymy of Incertella Sabrosky","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nearctic ecozone; Taxonomy (biology); Key (lock); Synonym (taxonomy); Male genitalia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009277999,0.0007836624,0.0006470516,0.009977389,0.00116969,0.001153932,0.001485862,0.0004330779,0.01147366],"category_scores_gemma":[0.002681659,0.0004023346,0.0004342621,0.004714202,0.0007161426,0.001318037,0.001860688,0.001127519,0.004084703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409541,"about_ca_system_score_gemma":0.00207338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02680853,"about_ca_topic_score_gemma":0.04725508,"domain_scores_codex":[0.998692,0.0001338604,0.0002471666,0.0002484621,0.0005335158,0.0001450362],"domain_scores_gemma":[0.997439,0.0002613889,0.0008758034,0.0003514931,0.0008990221,0.000173249],"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":[0.0007225164,0.00008556798,0.1755999,0.005926703,0.0004092503,0.001259532,0.006613496,0.00158257,0.01608862,0.003331037,0.3002712,0.4881096],"study_design_scores_gemma":[0.00002350477,0.00004007558,0.1797554,0.0008392247,0.0001419819,0.001127099,0.001217472,0.0004034116,0.001388351,0.0003612516,0.8146622,0.00004006018],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3896839,0.04419236,0.01127727,0.004975337,0.003562377,0.001054141,0.4462378,0.004739181,0.09427749],"genre_scores_gemma":[0.5986382,0.01489944,0.02184779,0.0008630641,0.0006253534,0.0007724897,0.3401428,0.0006618535,0.02154908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02680853,"threshold_uncertainty_score":0.05330497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009937392662288705,"score_gpt":0.2205983289992942,"score_spread":0.2106609363370055,"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."}}