{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001218399,0.002881611,0.00176697,0.003537326,0.001148375,0.003301952,0.003637854,0.002273248,0.1152489],"category_scores_gemma":[0.006484008,0.0007213668,0.002453683,0.004727368,0.0004196149,0.002315751,0.002776796,0.002171599,0.1813942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591187,"about_ca_system_score_gemma":0.002910414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738748,"about_ca_topic_score_gemma":0.04091563,"domain_scores_codex":[0.9985258,0.0002436003,0.0001871893,0.0005188309,0.0003369622,0.0001875864],"domain_scores_gemma":[0.9980308,0.000481699,0.0001963591,0.0006300648,0.0004857711,0.0001752818],"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":[0.0001388098,0.00002759656,0.001141111,0.001602944,0.00007199862,0.00002905209,0.000026621,0.000436083,0.0001811247,0.0007962267,0.988799,0.006749424],"study_design_scores_gemma":[0.000200297,0.00002141064,0.002271837,0.000446205,0.00005478756,0.00007478979,0.00004422528,0.000421806,0.0003196183,0.001778531,0.9943386,0.000028008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001236911,0.0002201063,0.0001187414,0.00008257828,0.00003660079,0.00001838524,0.9972487,0.0007508501,0.001400305],"genre_scores_gemma":[0.0002684681,0.0001267121,0.0003102918,0.00009093898,0.000006941493,0.00005954183,0.9981839,0.00009746628,0.0008556242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1152489,"threshold_uncertainty_score":0.3855459,"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."}}