{"id":"W2535010116","doi":"10.1115/ipc2000-189","title":"Influence of Line-Pipe Steel Metallurgy on Ductile Tearing of Stress-Corrosion Cracks During Simulated Hydrostatic Testing","year":2000,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Tearing; Materials science; Corrosion; Tension (geology); Stress (linguistics); Metallurgy; Composite material; Welding; Hydrostatic test; Hydrostatic equilibrium; Yield (engineering); Hydrostatic pressure; Ultimate tensile strength; Mechanics","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":[0.0003277317,0.0002841885,0.0002694072,0.0001760018,0.0001597377,0.0002516554,0.0002010814,0.0002037494,0.0009742368],"category_scores_gemma":[0.0009627426,0.0002039941,0.0001557469,0.0001559217,0.0003310832,0.0002356797,0.0003026313,0.0002147659,0.0001035388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929823,"about_ca_system_score_gemma":0.0001431243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001173183,"about_ca_topic_score_gemma":0.003139682,"domain_scores_codex":[0.9996668,0.00006080622,0.00003131092,0.00006242143,0.0001355762,0.0000430105],"domain_scores_gemma":[0.999007,0.000417835,0.0002192491,0.00008337611,0.0001970796,0.00007541309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001574426,0.00001512594,0.002347501,0.00004377288,0.000004801208,0.00008307282,0.00008964771,0.0004025239,0.9952441,0.000008334569,0.00000964784,0.00159413],"study_design_scores_gemma":[0.000006903349,0.001042905,0.02885502,0.000006193105,0.0000138062,0.0001105453,0.0001050038,0.001911338,0.9676494,0.000009816448,0.0002824049,0.000006604318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991981,0.00009098512,0.0004859686,0.000004053774,0.000001472771,0.000007249184,0.00002320467,0.00001406224,0.0001748597],"genre_scores_gemma":[0.9989977,0.00006777164,0.0006309516,0.000006953455,0.000001065077,0.000007641787,0.00003579184,0.000009581348,0.0002424971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001173183,"threshold_uncertainty_score":0.003259122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215916095574922,"score_gpt":0.2354249536845225,"score_spread":0.2232657927287733,"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."}}