{"id":"W2093278656","doi":"10.1002/prs.11659","title":"Loss functions and their applications in process safety assessment","year":2014,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Reliability engineering; Process (computing); Process safety; System safety; Safety instrumented system; Set (abstract data type); Engineering; Quality (philosophy); Computer science; Warning system; Work in process; Risk analysis (engineering); Operations management","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"],"consensus_categories":[],"category_scores_codex":[0.003704476,0.0003832725,0.0007389666,0.0004905196,0.0007836627,0.0003314166,0.001085353,0.0001781653,0.0001496191],"category_scores_gemma":[0.0004713544,0.0002609942,0.0001695223,0.002922009,0.0004905598,0.0007264044,0.0001923019,0.0004231906,0.00007288627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008170486,"about_ca_system_score_gemma":0.0002123176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001753958,"about_ca_topic_score_gemma":0.0001766796,"domain_scores_codex":[0.9954864,0.0003431427,0.001268521,0.001180383,0.001151108,0.0005703995],"domain_scores_gemma":[0.9965569,0.001056044,0.0004525818,0.0009030576,0.000755938,0.0002754652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001737588,0.0005099002,0.5783648,0.0001146881,0.00006431405,0.000001623486,0.001923113,0.004010903,0.000007292706,0.006688194,0.0000868671,0.4080546],"study_design_scores_gemma":[0.002792505,0.0002695493,0.4255515,0.000171801,0.000146269,0.00004733612,0.01814782,0.09519939,0.0002448086,0.3357706,0.1201405,0.001517875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1763482,0.003660876,0.7328874,0.03093719,0.0004374558,0.003830726,0.0003194407,0.0006220699,0.0509566],"genre_scores_gemma":[0.9975501,0.0001628668,0.0009301158,0.000135544,0.00012445,0.0005516737,0.00005463324,0.00002901791,0.0004615556],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8212019,"threshold_uncertainty_score":0.9999842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0293142243907652,"score_gpt":0.3724985308688282,"score_spread":0.343184306478063,"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."}}