{"id":"W2150481762","doi":"10.1139/l04-027","title":"Recalibration of partial load factors in the Canadian offshore structures standard CAN/CSA-S471","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Submarine pipeline; Calibration; Reliability engineering; Standardization; Load factor; Reliability (semiconductor); Computer science; Scope (computer science); Design load; Engineering; Structural engineering; Statistics; Mathematics; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006504343,0.001115574,0.000513849,0.003029246,0.00183952,0.001548833,0.002868192,0.0008417892,0.003740449],"category_scores_gemma":[0.01796957,0.0006844453,0.0008773663,0.00205858,0.001614502,0.001044303,0.001371988,0.001193745,0.001042092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01616004,"about_ca_system_score_gemma":0.03476202,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6083034,"about_ca_topic_score_gemma":0.7259911,"domain_scores_codex":[0.9861804,0.001179759,0.0004739089,0.0006041924,0.01091292,0.0006489074],"domain_scores_gemma":[0.9808547,0.002443294,0.0007952354,0.002312367,0.01336599,0.0002283955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004010732,0.0001526582,0.01956579,0.0003389578,0.00006726171,0.0002626963,0.00165648,0.4054559,0.02612091,0.05691008,0.0381511,0.4509171],"study_design_scores_gemma":[0.0001605638,0.0005591607,0.05103944,0.0004151262,0.0001612059,0.000486544,0.0007789639,0.5797186,0.06567252,0.02394155,0.2765384,0.000527969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3210973,0.0008792653,0.5264511,0.002834043,0.000405782,0.001551385,0.004367948,0.006633069,0.1357802],"genre_scores_gemma":[0.7114804,0.0006651548,0.2445526,0.0006212551,0.00005348317,0.0004918099,0.004580052,0.00111523,0.03643996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3916966,"threshold_uncertainty_score":0.7880067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009524985548314878,"score_gpt":0.1932983685292637,"score_spread":0.1837733829809489,"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."}}