{"id":"W4234060595","doi":"10.1515/iupac.79.0917","title":"Bioinactivation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","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; Library science; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001019292,0.0002129663,0.0001909827,0.00001674043,0.00004066444,0.00001498492,0.0002481577,0.0002203399,0.0219427],"category_scores_gemma":[0.0001715086,0.00016588,0.00006786558,0.0001058819,0.00008847752,0.00007160212,0.000175396,0.0002346287,0.0000118826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005989801,"about_ca_system_score_gemma":0.00002918614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004595566,"about_ca_topic_score_gemma":0.0000237133,"domain_scores_codex":[0.9987566,0.000006630941,0.000181452,0.000303495,0.0005271679,0.0002245838],"domain_scores_gemma":[0.9993964,0.00003109534,0.00008015293,0.0003745243,0.00001341278,0.0001043809],"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":[0.00001566669,0.0000481533,0.000005653176,0.00003205264,0.000009460029,0.000007607552,0.000001371982,0.00001339449,0.005732503,3.142546e-7,0.9922612,0.001872641],"study_design_scores_gemma":[0.0002000995,0.00001690644,0.00001543473,0.00008378816,0.00001668914,0.000005234666,0.000002056426,0.000009916177,0.006678254,0.00005161114,0.9926845,0.0002354629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000615805,0.00002579081,0.000181034,0.0001678905,0.0001382517,0.0000590995,0.9983837,0.00004433999,0.0003840678],"genre_scores_gemma":[0.0001645403,0.00008972381,0.00003905041,0.00006965263,0.0003128333,0.000005533266,0.9988692,0.00001461002,0.0004348936],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02193081,"threshold_uncertainty_score":0.9789514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005868765000543004,"score_gpt":0.3239262241069985,"score_spread":0.3180574591064554,"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."}}