{"id":"W2051100954","doi":"10.1115/ipc2010-31076","title":"Measurement of CTOA of Pipe Steels Using MDCB and DWTT Specimens","year":2010,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Materials science; Composite material; Cracking","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":[0.0004800164,0.00053577,0.0002359011,0.001025079,0.0003028328,0.0002316572,0.00029913,0.0004003721,0.001341511],"category_scores_gemma":[0.001365684,0.0003544516,0.000199625,0.0006180786,0.0005477364,0.0003050993,0.0003162041,0.0004147427,0.0002231411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000313891,"about_ca_system_score_gemma":0.0002921272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003520077,"about_ca_topic_score_gemma":0.008686939,"domain_scores_codex":[0.9994915,0.00003491408,0.00004501813,0.00009729268,0.0002848845,0.00004641027],"domain_scores_gemma":[0.9973344,0.0005032712,0.0004156229,0.0002597652,0.001270601,0.0002163381],"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":[0.00004655946,0.000006817015,0.002820209,0.00004074671,0.00000315826,0.00002476055,0.00005865774,0.00008355039,0.9954991,0.00001763116,0.0000107847,0.001388004],"study_design_scores_gemma":[0.000007928979,0.0006004142,0.09596725,0.00001201382,0.00002382148,0.0003380308,0.0002283265,0.001319954,0.9008105,0.00002705502,0.0006444279,0.00002023869],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991008,0.0002602816,0.007482696,0.000009366772,0.00001156545,0.00004483877,0.0002423166,0.0000574563,0.0008834908],"genre_scores_gemma":[0.9910191,0.0001493992,0.007692432,0.00001171696,0.000005035685,0.00003394259,0.0002729801,0.00002145409,0.0007938602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003520077,"threshold_uncertainty_score":0.006999195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911317932929644,"score_gpt":0.2403019681208519,"score_spread":0.2111887887915554,"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."}}