{"id":"W2969857847","doi":"10.2118/195761-ms","title":"Integrating First Principles-Based Approaches into the Routine Design Practice for Offshore Consequence Analysis and Operational Troubleshooting Assessments","year":2019,"lang":"en","type":"article","venue":"SPE Offshore Europe Conference and Exhibition","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Workflow; Engineering design process; Computational fluid dynamics; Finite element method; Engineering; Systems engineering; Process (computing); Troubleshooting; Computer science; Mechanical engineering; Reliability engineering; Aerospace engineering; Structural 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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00479386,0.0002562446,0.0004621305,0.0002903567,0.0006733372,0.001057498,0.0003885338,0.00008504608,0.0001359569],"category_scores_gemma":[0.002801715,0.0001613017,0.0001441249,0.001229719,0.0002408419,0.0007874073,0.0001288235,0.0002334877,0.00002697619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003897372,"about_ca_system_score_gemma":0.0002441838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001321049,"about_ca_topic_score_gemma":0.0005965857,"domain_scores_codex":[0.9967343,0.0006395144,0.0007386763,0.0008220771,0.0007947375,0.0002706894],"domain_scores_gemma":[0.9950367,0.002971424,0.000467223,0.0004769581,0.0009360537,0.0001116656],"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":[0.002438178,0.0006433497,0.3950926,0.0001852901,0.001952765,0.00005749866,0.01275843,0.115981,0.004294939,0.2112442,0.001055181,0.2542966],"study_design_scores_gemma":[0.0006689701,0.0003244624,0.01516859,0.00007235316,0.0005633016,0.0000147714,0.006592989,0.9681795,0.0008378315,0.003378013,0.003879221,0.00031997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.225243,0.0001848117,0.7572449,0.01255234,0.00007760533,0.0007927029,0.00002610284,0.00003288232,0.003845667],"genre_scores_gemma":[0.9562786,0.000166265,0.04243221,0.0004116157,0.00006356806,0.00004123437,0.0001113567,0.00001374677,0.0004814426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8521985,"threshold_uncertainty_score":0.9999795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1713400846678681,"score_gpt":0.3623678721750452,"score_spread":0.1910277875071771,"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."}}