{"id":"W2150625393","doi":"10.1115/pvp2009-77148","title":"A Procedure to Evaluate a B31.1 Welding End Transition Joint to Include the Fatigue Effects of Thermal Gradients for Design and Plant Life Extension","year":2009,"lang":"en","type":"article","venue":"","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Power Generation","funders":"","keywords":"Life extension; Welding; Power (physics); Thermal; Thermal power station; Temperature gradient; Mechanical engineering; Structural engineering; Computer science; Engineering; Electrical engineering; Thermodynamics; Physics; Meteorology","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":[0.0008250554,0.000704211,0.0003103299,0.0007519653,0.0005115289,0.0004674334,0.0006923213,0.0005354056,0.007722091],"category_scores_gemma":[0.002109292,0.0004270929,0.0004098825,0.0003579229,0.0002057114,0.000422433,0.0003817776,0.0006762449,0.002761827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004400287,"about_ca_system_score_gemma":0.0011629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0028904,"about_ca_topic_score_gemma":0.004147618,"domain_scores_codex":[0.9995241,0.00005354563,0.00002891811,0.00005173903,0.0003131863,0.00002848648],"domain_scores_gemma":[0.9988997,0.0002271633,0.0001510866,0.0001410518,0.0005565864,0.00002439111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002659566,0.0003281099,0.01091509,0.0005859245,0.00006925438,0.0003233107,0.000528314,0.3660437,0.2545657,0.008736603,0.01141717,0.3462208],"study_design_scores_gemma":[0.00006671238,0.001115347,0.009793497,0.00007028387,0.00005018901,0.0005064987,0.0001339831,0.7547756,0.1967742,0.003181761,0.03341907,0.0001129866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05571602,0.00006293254,0.9250478,0.00004258432,0.00005006541,0.000476758,0.0007782843,0.008082209,0.009743308],"genre_scores_gemma":[0.2483784,0.00007992247,0.740918,0.00006159301,0.000007636687,0.0005712468,0.001008408,0.001676044,0.007298785],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007722091,"threshold_uncertainty_score":0.02583295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02906918379136271,"score_gpt":0.2445352630092967,"score_spread":0.215466079217934,"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."}}