{"id":"W4254819093","doi":"10.1515/iupac.79.0919","title":"Biokinetics (in Toxicology)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Toxicology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001805754,0.00283144,0.002103326,0.004681747,0.0008507806,0.004393062,0.003344027,0.002454623,0.09122539],"category_scores_gemma":[0.01088554,0.000871579,0.002958793,0.007023947,0.0004879499,0.002660866,0.002841173,0.002672132,0.1377669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740127,"about_ca_system_score_gemma":0.003376887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102168,"about_ca_topic_score_gemma":0.01930117,"domain_scores_codex":[0.9978769,0.000381991,0.000363137,0.0006479188,0.0005517364,0.0001783239],"domain_scores_gemma":[0.9958923,0.001333456,0.0006528732,0.0009509441,0.0009011618,0.0002693012],"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":[0.0001820557,0.00003167188,0.001733971,0.004816909,0.0001203809,0.00003694243,0.00002733413,0.0005079951,0.0002601795,0.001089445,0.9803904,0.0108027],"study_design_scores_gemma":[0.0002011573,0.00002256496,0.002925641,0.0007731387,0.00008113118,0.00007943481,0.00002304788,0.0002402675,0.0003556233,0.001619604,0.9936497,0.00002868049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009185965,0.000491078,0.0001519085,0.00008157802,0.00004014708,0.00001970203,0.9976076,0.0004036055,0.001112478],"genre_scores_gemma":[0.0003989462,0.0004177162,0.0006468996,0.0001725372,0.00001930067,0.000122977,0.9972221,0.0001045564,0.0008950547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09122539,"threshold_uncertainty_score":0.3051793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384681998151915,"score_gpt":0.3878457889417108,"score_spread":0.3739989689601917,"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."}}