{"id":"W2060741349","doi":"10.1002/prs.10015","title":"Integrated inherent safety index (I2SI): A tool for inherent safety evaluation","year":2004,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":213,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"","keywords":"Inherent safety; Process safety; Risk analysis (engineering); Hazard analysis; Process (computing); Reliability engineering; Hazard; System safety; Identification (biology); Computer science; Process safety management; Engineering; Work in process; Operations management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006971358,0.001329598,0.001004834,0.00841351,0.0005077873,0.002620348,0.00114944,0.0007049704,0.006468326],"category_scores_gemma":[0.02202742,0.000341183,0.001198678,0.00345326,0.0008344356,0.002819648,0.001688608,0.001481271,0.001166417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048797,"about_ca_system_score_gemma":0.00168634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008816544,"about_ca_topic_score_gemma":0.0008689215,"domain_scores_codex":[0.9953934,0.001228211,0.0004417454,0.0002682686,0.002501656,0.0001667037],"domain_scores_gemma":[0.9834675,0.008811,0.002133704,0.001171088,0.004026196,0.0003905251],"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":[0.0007769865,0.0007103671,0.0303256,0.0009046501,0.0004004331,0.0002384551,0.0006079987,0.1536286,0.01348149,0.161795,0.01784081,0.6192896],"study_design_scores_gemma":[0.00008762485,0.001070612,0.009987909,0.0002601734,0.0002583738,0.0004589266,0.0003245292,0.799266,0.02465516,0.1300346,0.03336906,0.0002269831],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02778265,0.0002329163,0.9555513,0.0001574152,0.00007798505,0.0002663033,0.001008822,0.00280359,0.012119],"genre_scores_gemma":[0.3352812,0.0002022831,0.6603024,0.00005996911,0.00006770977,0.000461564,0.001286843,0.0002842756,0.002053752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00841351,"threshold_uncertainty_score":0.03686851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08556679189021969,"score_gpt":0.4078337512514721,"score_spread":0.3222669593612524,"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."}}