{"id":"W4233891014","doi":"10.1515/iupac.79.0941","title":"Biota","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Philosophy and Ethics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Biology; Philosophy; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004711527,0.0004404713,0.0003855645,0.00005179409,0.0001733492,0.00003317119,0.000686998,0.0005511037,0.05467295],"category_scores_gemma":[0.0001488871,0.0003291101,0.0001639365,0.0001367954,0.0007406889,0.0001440006,0.0007389947,0.0006772613,0.0002282695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008159181,"about_ca_system_score_gemma":0.00005431138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002189405,"about_ca_topic_score_gemma":0.0005127691,"domain_scores_codex":[0.9970023,0.00008007163,0.0003650131,0.0006598209,0.00142578,0.0004669943],"domain_scores_gemma":[0.9985174,0.00007530508,0.0001885788,0.0009736982,0.00001002316,0.0002350081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004067742,0.000177757,0.00005513975,0.00002679086,0.00002554933,0.00004560555,0.000007353195,0.000005730788,0.00006070435,0.000007433643,0.9976929,0.0018543],"study_design_scores_gemma":[0.0003781254,0.0001425091,0.0001824247,0.0001060717,0.00005257233,0.00001137014,0.000005165587,0.000001153944,0.00004330251,0.002034205,0.9965782,0.0004649688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001410104,0.0001397733,0.00002735346,0.001999697,0.0005201903,0.000202712,0.9956651,0.00004568221,0.001258442],"genre_scores_gemma":[0.00009188349,0.001068093,0.0000570507,0.001293695,0.0005749213,0.000009017584,0.9960136,0.00003779804,0.0008539042],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05444468,"threshold_uncertainty_score":0.9999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593202221964258,"score_gpt":0.3687281945626531,"score_spread":0.3527961723430105,"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."}}