{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002002709,0.0008443531,0.0007669594,0.001950693,0.000562423,0.001681468,0.001393876,0.001112755,0.05681809],"category_scores_gemma":[0.01344472,0.0003406475,0.0005308135,0.000720197,0.0002099652,0.001535128,0.0006647938,0.000812355,0.01476717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007079412,"about_ca_system_score_gemma":0.001175585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652064,"about_ca_topic_score_gemma":0.002885918,"domain_scores_codex":[0.9990089,0.0002990863,0.0001592103,0.0002249631,0.0002603895,0.00004751814],"domain_scores_gemma":[0.9912982,0.006049145,0.0002828614,0.0004080198,0.00180498,0.0001568202],"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":[0.001651512,0.0003094925,0.002353697,0.001599718,0.00009238254,0.001625551,0.0006509114,0.04207393,0.01727194,0.013574,0.2317139,0.6870831],"study_design_scores_gemma":[0.0006506363,0.0002459476,0.002215047,0.0005051533,0.000158723,0.0008552445,0.000389343,0.7109548,0.03193305,0.02305534,0.2289108,0.0001259192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02539177,0.0005462242,0.7893453,0.001571083,0.000372892,0.002462264,0.02373023,0.1082375,0.04834278],"genre_scores_gemma":[0.2234256,0.000551762,0.6996002,0.0006563531,0.0002200039,0.001607995,0.02275679,0.002429067,0.0487522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05681809,"threshold_uncertainty_score":0.1900754,"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."}}