{"id":"W1992808787","doi":"10.1115/omae2007-29623","title":"Probabilistic Analysis of Hull Girder Stresses Using an Analytical Approach Verified by the Monte Carlo Simulation","year":2007,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Hull; Monte Carlo method; Probabilistic logic; Girder; Probabilistic analysis of algorithms; Computer science; Bending; Bending moment; Reliability (semiconductor); Structural engineering; Deck; Engineering; Mathematics; Marine engineering; Physics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003605245,0.0001554338,0.0003499472,0.0002023965,0.00007627395,0.0000388459,0.0001824334,0.0001412292,0.0001305683],"category_scores_gemma":[0.0001095199,0.00009905206,0.0002260422,0.001410079,0.0001376922,0.0001359582,0.00001836786,0.0001929891,6.509711e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008555745,"about_ca_system_score_gemma":0.000008961459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001486366,"about_ca_topic_score_gemma":0.0006331448,"domain_scores_codex":[0.9988386,0.00004835123,0.0004188509,0.0002156482,0.0002612262,0.0002172945],"domain_scores_gemma":[0.9990883,0.0002629262,0.00004720976,0.0003855623,0.0001423063,0.0000736629],"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":[0.00001267237,0.00004488291,0.001073858,0.00003519677,0.0008796873,3.182556e-7,0.0002187392,0.9964845,0.0005297071,0.0002032104,0.00002164326,0.0004955728],"study_design_scores_gemma":[0.00006958446,0.00001398644,0.004972492,0.000003254993,0.001680106,3.607638e-7,0.0008231869,0.9914408,0.0007698903,0.00006937671,0.00002724651,0.0001297367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293811,0.0001035293,0.06919641,0.00001435667,0.00003680649,0.0001219655,0.00001935835,0.00007937627,0.001047072],"genre_scores_gemma":[0.9985697,0.000004319864,0.001281073,0.00001703668,0.00002895891,0.000001424868,0.00002521576,0.00001159348,0.00006065625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06918859,"threshold_uncertainty_score":0.4039226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045278491000553,"score_gpt":0.2951931935755839,"score_spread":0.2547404086655784,"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."}}