{"id":"W2892873396","doi":"10.1016/j.jlp.2018.09.010","title":"The impact of nature on chemical industrial facilities: Dealing with challenges for creating resilient chemical industrial parks","year":2018,"lang":"en","type":"article","venue":"Journal of Loss Prevention in the Process Industries","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"EPIC; Conceptual framework; Chemical industry; Risk analysis (engineering); Domain (mathematical analysis); Transparency (behavior); Engineering; Forensic engineering; Business; Computer security; Computer science; Environmental engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008429027,0.0002394701,0.0006018541,0.0002823082,0.0003564189,0.0002280297,0.001357428,0.0006271371,0.0000490581],"category_scores_gemma":[0.01318375,0.0001065678,0.0003936691,0.0009684316,0.0006636637,0.0003947477,0.00006437458,0.001695199,0.000001079996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124193,"about_ca_system_score_gemma":0.0006809236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001763512,"about_ca_topic_score_gemma":0.0000185759,"domain_scores_codex":[0.9954083,0.000453993,0.001642122,0.0003012806,0.001847406,0.000346902],"domain_scores_gemma":[0.9918314,0.004311622,0.001962951,0.0004038932,0.001394658,0.00009548854],"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":[0.04636449,0.001899685,0.05528712,0.00009211157,0.002132665,0.00003795545,0.0428142,0.0097289,0.0009066733,0.009402673,0.0100832,0.8212503],"study_design_scores_gemma":[0.02728623,0.01870595,0.006089825,0.005596875,0.001078638,0.0006512282,0.2924034,0.002506482,0.1603256,0.4645431,0.01894838,0.001864253],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944872,0.0005621702,0.0002711007,0.003489119,0.0001825327,0.0003618536,0.00003831399,0.000005361074,0.0006023258],"genre_scores_gemma":[0.9984155,0.0001908917,0.00007023465,0.00001265927,0.001127495,0.00002015084,0.00000256968,0.00001085199,0.0001496247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8193861,"threshold_uncertainty_score":0.9951286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277981421331228,"score_gpt":0.4221456591262188,"score_spread":0.2943475169930959,"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."}}