{"id":"W4237949154","doi":"10.1515/iupac.79.1370","title":"Hazard Communication Standard","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Multidisciplinary approach; Toxicology; Chemistry; Biology; Philosophy; Linguistics; Political science; 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":[0.003208712,0.001978314,0.001722857,0.006738671,0.0009306831,0.003429572,0.003799899,0.002656909,0.1597055],"category_scores_gemma":[0.02304189,0.0008081383,0.002057264,0.01042334,0.0005334317,0.003065512,0.002610355,0.002509469,0.1959186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002300283,"about_ca_system_score_gemma":0.005335206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01476453,"about_ca_topic_score_gemma":0.02303024,"domain_scores_codex":[0.9955773,0.0008438647,0.001021481,0.001062003,0.00114036,0.000354941],"domain_scores_gemma":[0.9887086,0.003518849,0.001304541,0.002591206,0.003292767,0.0005841382],"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":[0.0001096397,0.00002521235,0.0007990257,0.001341837,0.00004195698,0.00001982942,0.00001908574,0.0003057626,0.00008038615,0.0008040374,0.9903182,0.006135052],"study_design_scores_gemma":[0.0001569631,0.00001683528,0.001992551,0.0005400504,0.00003239698,0.00003934263,0.000045893,0.0002286703,0.0001695778,0.001513872,0.9952382,0.00002561422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005505114,0.00006874767,0.0001158532,0.00008889299,0.00002929605,0.0000336018,0.9982184,0.0002549465,0.001135142],"genre_scores_gemma":[0.0002214909,0.00009777013,0.0003940163,0.00009539097,0.00001255735,0.0001774236,0.9979001,0.00006556018,0.001035731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1597055,"threshold_uncertainty_score":0.5342683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487270393840955,"score_gpt":0.3896108198381284,"score_spread":0.3747381158997188,"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."}}