{"id":"W2029014582","doi":"10.1115/omae2004-51528","title":"Evaluation of Inherent Safety Potential in Offshore Oil and Gas Activities","year":2004,"lang":"en","type":"article","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"SAFER; Hazard; Risk analysis (engineering); Submarine pipeline; Process safety; Inherent safety; Offshore oil and gas; Process (computing); Engineering; Risk management; System safety; Safety case; Petroleum industry; Safety engineering; Business; Computer science; Operations management; Work in process; Reliability engineering; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003692712,0.0004113525,0.0003987021,0.002790754,0.0003945357,0.001305984,0.0005203035,0.000466838,0.001871524],"category_scores_gemma":[0.0121781,0.0001640748,0.0004459641,0.001279812,0.0007932947,0.0012309,0.00115641,0.0003561027,0.0002319127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009325391,"about_ca_system_score_gemma":0.001029019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002396325,"about_ca_topic_score_gemma":0.004773911,"domain_scores_codex":[0.994517,0.001447795,0.0002862225,0.0002198845,0.003318933,0.000210146],"domain_scores_gemma":[0.9862224,0.008124955,0.001897525,0.0003254557,0.003042606,0.0003869806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00189348,0.000643135,0.5163423,0.001126124,0.0002634162,0.001408476,0.003019617,0.1363327,0.03276733,0.01671761,0.000848752,0.2886371],"study_design_scores_gemma":[0.00009034191,0.005891653,0.5161567,0.0004797,0.0003118691,0.001461707,0.01417131,0.3366202,0.0874332,0.02960377,0.007457079,0.0003225425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480526,0.0001918691,0.03669722,0.00008194927,0.00001030949,0.0002445697,0.0002612454,0.00004092272,0.01441928],"genre_scores_gemma":[0.9859449,0.0001220335,0.01252683,0.000005771928,0.000002996065,0.00006717803,0.0001420681,0.00000458672,0.001183788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003692712,"threshold_uncertainty_score":0.01952916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08399819106414659,"score_gpt":0.3723827462897799,"score_spread":0.2883845552256333,"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."}}