{"id":"W6967558425","doi":"10.5281/zenodo.11327807","title":"Glauconycteris gleni Peterson and Smith 1973","year":2005,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"IUCN Red List; Action (physics); Vernacular; Action plan; Butterfly","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":[0.0001157039,0.0005518224,0.0001499919,0.0009396318,0.0006826313,0.000229422,0.0002887928,0.0003513801,0.009072327],"category_scores_gemma":[0.0002941366,0.0001303063,0.00008907634,0.0007298579,0.0005275639,0.000413139,0.0007088103,0.0003269625,0.003241858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003164131,"about_ca_system_score_gemma":0.0003015714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085674,"about_ca_topic_score_gemma":0.02732401,"domain_scores_codex":[0.9999068,0.00001199901,0.000005801679,0.00002507246,0.00003378305,0.00001651081],"domain_scores_gemma":[0.9998698,0.00001786363,0.00006079426,0.00001328338,0.00002114788,0.00001711215],"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":[0.0004196168,0.0001292219,0.1367034,0.000439943,0.00004888601,0.005143685,0.001457183,0.0009489374,0.02968854,0.006109833,0.04420931,0.7747016],"study_design_scores_gemma":[0.00005938311,0.0002807916,0.6170753,0.0006698061,0.00006979366,0.01360629,0.001666976,0.0007052979,0.005134527,0.004163614,0.3565302,0.00003790309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6399009,0.0155928,0.006032158,0.001823519,0.0007053672,0.0001897389,0.002618785,0.0004631034,0.3326735],"genre_scores_gemma":[0.9538003,0.00496846,0.002610214,0.0005811738,0.0001620786,0.00003535599,0.001143709,0.00002454463,0.03667429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01085674,"threshold_uncertainty_score":0.03034997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792336862247182,"score_gpt":0.207273502023564,"score_spread":0.1793501334010922,"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."}}