{"id":"W6911632380","doi":"10.5281/zenodo.12551863","title":"Neogaster csuzdii Bartz & Decaens 2024, n. sp.","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Litter; Atlantic forest; Fixation (population genetics); Sample (material)","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":[0.0001350717,0.0006294702,0.0003634879,0.00176934,0.001644806,0.0004060212,0.0006644647,0.000603073,0.01342949],"category_scores_gemma":[0.0004018649,0.0002700264,0.0001385609,0.001175401,0.0005999051,0.0009802842,0.0008182318,0.0006106194,0.005491805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163315,"about_ca_system_score_gemma":0.000595089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0354232,"about_ca_topic_score_gemma":0.0923326,"domain_scores_codex":[0.9998608,0.00001110164,0.00001178766,0.00004501398,0.0000517684,0.0000195606],"domain_scores_gemma":[0.999878,0.00001442909,0.00003983184,0.00001476061,0.00003986452,0.00001310447],"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":[0.0007850872,0.0001153737,0.04194899,0.001144985,0.00008983142,0.002547147,0.003231317,0.001046964,0.02688436,0.006806744,0.06996442,0.8454348],"study_design_scores_gemma":[0.0001412717,0.0001969282,0.4412907,0.001020165,0.0002371835,0.01044804,0.002842904,0.0008057855,0.004458166,0.002815046,0.5356764,0.00006745208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.349656,0.02404938,0.006702674,0.001694179,0.001151566,0.0008389421,0.01150746,0.001121857,0.6032779],"genre_scores_gemma":[0.9107186,0.005711699,0.0105895,0.001177902,0.0001895479,0.0003861599,0.00614956,0.00009505133,0.06498203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0354232,"threshold_uncertainty_score":0.07043403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0355411704497631,"score_gpt":0.2143030298814363,"score_spread":0.1787618594316732,"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."}}