{"id":"W3037336999","doi":"10.48336/gwrj-5p46","title":"Dynamic risk analysis of offshore facilities in harsh environments","year":2020,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Akaike information criterion; Bivariate analysis; Copula (linguistics); Engineering; Wind speed; Reliability engineering; Offshore wind power; Submarine pipeline; Marine engineering; Environmental science; Statistics; Meteorology; Econometrics; Mathematics; Wind power; Geotechnical engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009985779,0.0006350672,0.000486577,0.001250455,0.0002739216,0.0008888321,0.0005379571,0.000527453,0.0009717913],"category_scores_gemma":[0.003080292,0.0003005143,0.000577098,0.0006002266,0.0004552588,0.0009363614,0.0009100318,0.0004506892,0.0001066445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008329105,"about_ca_system_score_gemma":0.0005725169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006666538,"about_ca_topic_score_gemma":0.003183627,"domain_scores_codex":[0.9994509,0.0002216249,0.0000212812,0.000069402,0.0001600405,0.00007679661],"domain_scores_gemma":[0.9989095,0.00057148,0.0002629696,0.00004325312,0.0001572418,0.00005571136],"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":[0.00002180831,0.0000189476,0.008004626,0.00001726276,0.00003605393,0.0002307527,0.00006281965,0.9801411,0.0005919597,0.004499735,0.0001434723,0.006231572],"study_design_scores_gemma":[0.000002315898,0.00003710854,0.005700831,0.000005687295,0.00001634933,0.00005732265,0.0001318253,0.9904874,0.0002094661,0.003173096,0.0001658749,0.00001277455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7628068,0.0003076571,0.2311175,0.00026,0.00001364253,0.00006635088,0.0001528107,0.0001026706,0.005172635],"genre_scores_gemma":[0.9964501,0.0001255155,0.002787374,0.000005268736,0.000005141952,0.0000199282,0.00004346911,0.000005877319,0.0005574467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006666538,"threshold_uncertainty_score":0.01325548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478947885752557,"score_gpt":0.2354484230385379,"score_spread":0.2206589441810123,"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."}}