{"id":"W6949415522","doi":"10.5281/zenodo.15174527","title":"Table 3 in Coleoptera of Brazil: what we knew then and what we know now. Insights from the Catálogo Taxonômico da Fauna do Brasil","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biological and pharmacological studies of plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Scarabaeidae; Fauna; Table (database); BATES; Karel","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":[0.0005938609,0.0007941663,0.0004897661,0.00649362,0.0008013399,0.001163462,0.0004945865,0.0003565916,0.02678362],"category_scores_gemma":[0.002391403,0.0003293187,0.0003869101,0.01340207,0.0005327495,0.002208258,0.0004852939,0.0006809919,0.006694497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185065,"about_ca_system_score_gemma":0.002074036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06957044,"about_ca_topic_score_gemma":0.1230484,"domain_scores_codex":[0.9994298,0.00006172658,0.0001181297,0.0001161393,0.0002036724,0.00007046459],"domain_scores_gemma":[0.9984334,0.0002556944,0.0003101652,0.0001227467,0.0007530286,0.0001248493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008201637,0.00002484315,0.04723423,0.006393863,0.00007268833,0.0003521523,0.002961536,0.0001309023,0.002513712,0.006664009,0.1992867,0.7342834],"study_design_scores_gemma":[0.000007325551,0.00001978644,0.1046142,0.002849712,0.00004150413,0.0006926795,0.0008064053,0.00004432508,0.0001718041,0.0008743844,0.8898633,0.0000145761],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"dataset","genre_scores_codex":[0.05409159,0.5925102,0.003578579,0.01033973,0.00515639,0.000305586,0.09363576,0.0008594177,0.2395229],"genre_scores_gemma":[0.25293,0.5299346,0.02529843,0.005545611,0.002254543,0.0003593619,0.06538919,0.0008862464,0.1174021],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.06957044,"threshold_uncertainty_score":0.138331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04797145862441771,"score_gpt":0.2886222127711946,"score_spread":0.2406507541467769,"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."}}