{"id":"W2072501317","doi":"10.1002/prs.10181","title":"Expert system for fire and reactivity MSDS text","year":2006,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"","keywords":"Hazard; Process (computing); Multinational corporation; Key (lock); Engineering; Expert system; Process safety; Product (mathematics); Selection (genetic algorithm); Risk analysis (engineering); Construction engineering; Computer science; Computer security; Work in process; Operations management; Business; Artificial intelligence; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0020271,0.0002409853,0.0005568916,0.0001436236,0.0005682806,0.0003223077,0.0005872501,0.0001465707,0.00002646968],"category_scores_gemma":[0.0003972369,0.000171007,0.0001954054,0.0008185811,0.0002319951,0.0005860104,0.0001011677,0.0001164562,0.00003452056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005848597,"about_ca_system_score_gemma":0.00007631162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000113322,"about_ca_topic_score_gemma":0.00006002669,"domain_scores_codex":[0.9968506,0.0001274596,0.0007519542,0.0008126062,0.001038684,0.0004187211],"domain_scores_gemma":[0.9976377,0.0007657295,0.0003591559,0.0005309784,0.0005779297,0.0001284483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007381355,0.0002961034,0.06414507,0.0002416366,0.00006247202,0.0000116034,0.0009063215,0.0002723571,0.0001233859,0.004152689,0.003764145,0.9252861],"study_design_scores_gemma":[0.00628454,0.000638355,0.1424818,0.0006064044,0.0003787075,0.0002463821,0.0146204,0.1728636,0.01394471,0.1071492,0.5378838,0.002902017],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.792408,0.04346624,0.09171446,0.03586054,0.001442545,0.004484037,0.000452147,0.001303909,0.02886815],"genre_scores_gemma":[0.9962789,0.00008171028,0.002206176,0.00005214557,0.0002540902,0.0002177133,0.00001476138,0.00002170292,0.0008728056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9223841,"threshold_uncertainty_score":0.6973464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03956440394286001,"score_gpt":0.3619761418358255,"score_spread":0.3224117378929655,"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."}}