{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009783105,0.001796624,0.001296067,0.002413775,0.0006089468,0.001945668,0.002096377,0.001384648,0.04771487],"category_scores_gemma":[0.004766942,0.0004174433,0.001715295,0.004669229,0.0002447158,0.00174162,0.001452095,0.001218471,0.07017601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001114188,"about_ca_system_score_gemma":0.001597655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02342748,"about_ca_topic_score_gemma":0.03849949,"domain_scores_codex":[0.9985095,0.0002194778,0.0001936215,0.000581458,0.0003629951,0.0001329079],"domain_scores_gemma":[0.9979627,0.0003586944,0.0002249604,0.0005828593,0.0007508838,0.0001198894],"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":[0.0001613072,0.00003866738,0.004539485,0.001281519,0.0001119672,0.00003930298,0.00002453412,0.0009721947,0.0002407165,0.0008411754,0.9762564,0.01549264],"study_design_scores_gemma":[0.0001391885,0.00002570047,0.01170665,0.000427664,0.00007181164,0.00008487875,0.00008134182,0.0009815155,0.0005623784,0.001698733,0.9841763,0.00004394101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002934831,0.0001574111,0.0002203403,0.00005642839,0.00004743294,0.00001770868,0.9967517,0.0004180959,0.002037511],"genre_scores_gemma":[0.0009527016,0.0001312374,0.0005235273,0.00007103501,0.00001337776,0.00005970235,0.9968873,0.00005154351,0.001309661],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04771487,"threshold_uncertainty_score":0.1596221,"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."}}