{"id":"W4243735633","doi":"10.1515/iupac.79.0805","title":"Ambient Monitoring","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Multidisciplinary approach; Toxicology; Chemistry; Philosophy; Biology; Political science; Linguistics; Law","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":[0.0002419381,0.0004833869,0.0005597719,0.0001088683,0.00008020268,0.00003651505,0.0005816924,0.0004102027,0.002586446],"category_scores_gemma":[0.0003052999,0.0003577372,0.0002504584,0.0001649705,0.00006887428,0.0000656548,0.000439462,0.0006685072,0.00001329374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008113171,"about_ca_system_score_gemma":0.00008483264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009734095,"about_ca_topic_score_gemma":0.00002157236,"domain_scores_codex":[0.9972467,0.00001928678,0.0005147601,0.0005574506,0.001080633,0.0005811878],"domain_scores_gemma":[0.9985151,0.00009697538,0.0001596995,0.0008281121,0.0001573002,0.000242828],"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":[0.00007072174,0.0001380659,0.000002884086,0.0002683122,0.0001364452,0.00005130059,0.000004408485,0.00003220345,0.001014414,0.0000149112,0.9941324,0.004133907],"study_design_scores_gemma":[0.0006579807,0.00003756353,0.000006783526,0.0007759422,0.0001142661,0.000003082497,0.000009072128,0.00003014584,0.003179173,0.00006657084,0.994612,0.0005074562],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009580009,0.0006833822,0.0007676962,0.0004028055,0.001266534,0.0001908082,0.9963097,0.0001923342,0.00009093829],"genre_scores_gemma":[0.00007896108,0.00214947,0.00007342827,0.00006221951,0.002577288,0.00002190022,0.9938565,0.00005607227,0.001124091],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.00362645,"threshold_uncertainty_score":0.9998875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229534569230609,"score_gpt":0.3584023873280949,"score_spread":0.3461070416357888,"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."}}