{"id":"W2037195996","doi":"10.1002/prs.680220203","title":"Evaluation of available indices for inherently safer design options","year":2003,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; National Research Council Canada; Memorial University of Newfoundland","funders":"","keywords":"SAFER; Inherent safety; Risk analysis (engineering); Process (computing); Process safety; Hazard; Reliability engineering; Computer science; Hazard analysis; Search engine indexing; System safety; Engineering; Work in process; Operations management; Computer security; Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02157689,0.0002030964,0.00048483,0.0003766835,0.0003809711,0.0001434802,0.0007129729,0.0001354541,0.001854925],"category_scores_gemma":[0.005522036,0.0001525431,0.0002250247,0.001715847,0.0002128788,0.0006377564,0.00003762999,0.0001100584,0.0001835379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007050687,"about_ca_system_score_gemma":0.0006983493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005393558,"about_ca_topic_score_gemma":0.0000174923,"domain_scores_codex":[0.9935858,0.001031488,0.001107999,0.0006387372,0.003267,0.0003689462],"domain_scores_gemma":[0.993395,0.001003714,0.0006784764,0.0005798538,0.004222402,0.0001205387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001067468,0.001627419,0.05481716,0.0002180534,0.0007215975,0.000001357065,0.003845923,0.114359,0.0002619087,0.01766783,0.008063879,0.7973484],"study_design_scores_gemma":[0.005680158,0.0006369355,0.007818518,0.0001709616,0.001907253,0.00001447869,0.004153523,0.190265,0.02583905,0.7015215,0.06092127,0.001071424],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06960157,0.03995677,0.8276567,0.004449418,0.001211478,0.01006779,0.0002867484,0.0002827872,0.04648669],"genre_scores_gemma":[0.9712282,0.0001796829,0.027056,0.00003722858,0.00004124973,0.000594925,0.00001547904,0.00002123928,0.000826036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9016266,"threshold_uncertainty_score":0.9990575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2899735476713807,"score_gpt":0.4380987883190048,"score_spread":0.1481252406476241,"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."}}