{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01040304,0.000774015,0.001327746,0.0007182619,0.001124248,0.0006196552,0.002044949,0.0004691909,0.001038082],"category_scores_gemma":[0.004408192,0.0005698502,0.0007853394,0.003723121,0.0004670608,0.001286546,0.0003100025,0.0006191191,0.00029567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009767864,"about_ca_system_score_gemma":0.001578261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008820895,"about_ca_topic_score_gemma":0.0004457331,"domain_scores_codex":[0.9884287,0.0006475799,0.003116661,0.001899884,0.004773777,0.001133462],"domain_scores_gemma":[0.9915896,0.0009640041,0.001233608,0.001441773,0.004370413,0.0004005787],"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":[0.004837181,0.0008937703,0.02207849,0.0001309332,0.0003181113,0.000006921289,0.002291454,0.04449099,0.00002715349,0.003953217,0.0006149377,0.9203569],"study_design_scores_gemma":[0.02432497,0.001342443,0.09711633,0.001033669,0.001176325,0.00007680841,0.007364237,0.1710836,0.002368813,0.4766086,0.2139537,0.003550492],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1627797,0.00831727,0.7632482,0.03633637,0.002577632,0.01652111,0.001214553,0.001093573,0.007911581],"genre_scores_gemma":[0.9911056,0.0003490029,0.005560456,0.0003685476,0.0002990686,0.001332839,0.0003948407,0.00007992934,0.0005097507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9168063,"threshold_uncertainty_score":0.9998751,"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."}}