{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001854129,0.0005143993,0.0005965119,0.001385071,0.0006915287,0.0006677025,0.0008323443,0.0006604125,0.001216408],"category_scores_gemma":[0.006144279,0.0004705242,0.0006873292,0.0007685807,0.001116458,0.0007212218,0.0005057409,0.0007543791,0.0001955682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009432534,"about_ca_system_score_gemma":0.001366871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00498079,"about_ca_topic_score_gemma":0.003209022,"domain_scores_codex":[0.9986609,0.0004513144,0.00003708619,0.00008374328,0.0006584514,0.000108463],"domain_scores_gemma":[0.9959294,0.002499719,0.0003945432,0.0003798372,0.0007393368,0.00005722763],"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":[0.00002040821,0.00002046006,0.0004434029,0.00001796539,0.00001192146,0.00004706072,0.00003398633,0.9695203,0.002311256,0.02196572,0.0001252208,0.005482297],"study_design_scores_gemma":[0.000002180779,0.000009770592,0.000179481,0.000003244187,0.00000339864,0.00002708362,0.000003590001,0.9969009,0.0006687296,0.002010146,0.0001852566,0.000006275844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09038432,0.0003148199,0.9013603,0.0001507394,0.00002597512,0.00005829784,0.0000504192,0.0003302901,0.007324866],"genre_scores_gemma":[0.9171411,0.0003207306,0.08079574,0.00004017861,0.00003813613,0.0001172948,0.00005758082,0.00008138307,0.0014079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00498079,"threshold_uncertainty_score":0.00990361,"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."}}