{"id":"W4213258553","doi":"10.2172/1483602","title":"Quarterly Management Document – FY16, 3rd Quarter, Physics-based Creep Simulations of Thick Section Welds in High Temperature and Pressure Applications","year":2016,"lang":"en","type":"report","venue":"","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Creep; Welding; Section (typography); Materials science; Work (physics); Quarter (Canadian coin); Structural engineering; Mechanical engineering; Metallurgy; Engineering; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001911048,0.0004509827,0.0005526427,0.000265625,0.0000811407,0.00008905368,0.0001883058,0.0006028846,0.0001771288],"category_scores_gemma":[0.000002450143,0.0003727181,0.0001226337,0.0003244433,0.0000445729,0.0001716023,0.00002110375,0.0005084524,0.000007805493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455887,"about_ca_system_score_gemma":0.00008153353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001884677,"about_ca_topic_score_gemma":0.0004615168,"domain_scores_codex":[0.9980015,0.00004452959,0.0006233759,0.0004863413,0.0005444803,0.0002998386],"domain_scores_gemma":[0.998826,0.00007512038,0.0001371707,0.0006648611,0.0002068327,0.0000900442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002808814,0.002347064,0.004227394,0.03831472,0.008883815,0.0001186199,0.002922709,0.4749319,0.04367294,0.0631645,0.2027586,0.1583768],"study_design_scores_gemma":[0.005162151,0.0007797559,0.01227641,0.002621745,0.001461877,0.00001944835,0.0004481255,0.008698365,0.003209194,0.004489706,0.9577138,0.003119458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1225267,0.03216449,0.2719862,0.00493174,0.01584931,0.05181377,0.007652443,0.008006987,0.4850684],"genre_scores_gemma":[0.9919932,0.0005149082,0.0008736323,0.00002654546,0.0006600319,0.0006531072,0.0003828392,0.00008746101,0.004808216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8694666,"threshold_uncertainty_score":0.9998725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004727424289171583,"score_gpt":0.2247252802843077,"score_spread":0.2199978559951361,"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."}}