{"id":"W4415445722","doi":"10.1016/j.ress.2025.111790","title":"Exploring incident patterns in the hydrogen value chain using knowledge graphs: A roadmap toward targeted risk control","year":2025,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Graph theory; Graph; Causation; Hazard; Hazard analysis; Energy carrier; Value (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01651728,0.0004332117,0.001070207,0.0008758593,0.0003228444,0.0001937539,0.001481447,0.0001724577,0.00001316045],"category_scores_gemma":[0.003652401,0.0003006417,0.0006838897,0.003407188,0.00005581868,0.000439439,0.0001696209,0.0005961867,0.0000439603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008886665,"about_ca_system_score_gemma":0.0001613531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002271937,"about_ca_topic_score_gemma":0.000186865,"domain_scores_codex":[0.9931337,0.001828672,0.00214692,0.0009969905,0.001233742,0.0006599763],"domain_scores_gemma":[0.9942669,0.003151434,0.0003593688,0.001774175,0.0003003324,0.0001477593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006738716,0.00009704308,0.1073825,0.0002022432,0.0001242971,0.00001594094,0.003649982,0.8822088,0.0002054363,0.003066429,0.00001545429,0.002964571],"study_design_scores_gemma":[0.0007893941,0.00002767265,0.1894699,0.0003880693,0.0001496877,0.000007763667,0.003330998,0.8034751,0.0001382014,0.0008391951,0.001048141,0.0003359118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8186745,0.001340817,0.1774765,0.0004785217,0.0008133432,0.0008147077,0.00006770215,0.0001672146,0.0001667547],"genre_scores_gemma":[0.9989784,0.0002610057,0.0004304068,0.00002923958,0.00009939913,0.0001491399,0.000005073081,0.00002450684,0.00002286676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1803039,"threshold_uncertainty_score":0.9999446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05984507028434012,"score_gpt":0.3018842109098462,"score_spread":0.2420391406255061,"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."}}