{"id":"W4313053248","doi":"10.37313/1990-5378-2022-24-4-97-105","title":"FEATURES AND DIFFERENCES OF THE SYSTEM OF HAZARD CLASSIFICATION AND LABELING OF CHEMICAL PRODUCTS IN SAFETY DATA SHEET FOR VARIOUS COUNTRIES","year":2022,"lang":"en","type":"article","venue":"Izvestiya of Samara Scientific Center of the Russian Academy of Sciences","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Hazard; Chemical safety; European union; Chemical products; Business; Risk analysis (engineering); Computer science; Engineering; Political science; Chemistry; Biochemical engineering; Law; International trade","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016435,0.0003564937,0.0003544338,0.01112778,0.001366794,0.003909045,0.000748398,0.0008100457,0.002080228],"category_scores_gemma":[0.03915723,0.0003107746,0.0008400133,0.01026544,0.001713756,0.002352306,0.001305213,0.001070752,0.0008179141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004317157,"about_ca_system_score_gemma":0.006148404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006693795,"about_ca_topic_score_gemma":0.004388689,"domain_scores_codex":[0.9724243,0.009130952,0.006901595,0.002332674,0.008325163,0.0008851705],"domain_scores_gemma":[0.9373143,0.02240751,0.01001058,0.007910954,0.02174959,0.0006069971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001338635,0.0004110027,0.3526261,0.00242843,0.0001760669,0.0007334682,0.01702899,0.006592243,0.01671591,0.103264,0.01582313,0.4828622],"study_design_scores_gemma":[0.000101007,0.0009849627,0.5591339,0.001728635,0.0005594039,0.001755499,0.01741653,0.01172724,0.03990232,0.01830379,0.3480152,0.0003715263],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7795099,0.002244479,0.1025103,0.001901906,0.0005857387,0.001580479,0.009545532,0.001197364,0.1009244],"genre_scores_gemma":[0.850604,0.0009937575,0.1314859,0.000356344,0.00009518056,0.0008245499,0.008336618,0.0002980662,0.007005563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.016435,"threshold_uncertainty_score":0.08691764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054939657419126,"score_gpt":0.334767263069203,"score_spread":0.2292732973272904,"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."}}