{"id":"W4407010649","doi":"10.1016/j.jpse.2025.100263","title":"Characterization of CTOA for resistance to pipeline ductile fracture propagation","year":2025,"lang":"en","type":"article","venue":"Journal of Pipeline Science and Engineering","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Natural Resources Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fracture (geology); Materials science; Pipeline (software); Fracture mechanics; Characterization (materials science); Forensic engineering; Composite material; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007244091,0.000357869,0.0003249943,0.0008363645,0.0001698729,0.0004379055,0.0004855116,0.000323405,0.0007816986],"category_scores_gemma":[0.003439137,0.0002301161,0.0001933802,0.0006206417,0.0003833811,0.0004470273,0.0002181407,0.000392629,0.0001257371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002030632,"about_ca_system_score_gemma":0.0002705001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116316,"about_ca_topic_score_gemma":0.001494934,"domain_scores_codex":[0.9995047,0.0000400511,0.00005499821,0.0001187799,0.00024566,0.00003571396],"domain_scores_gemma":[0.9964238,0.001416908,0.0006958669,0.0004100202,0.0009541417,0.00009929081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000149705,0.00003506232,0.01352818,0.000174533,0.00001016159,0.00004613041,0.0001477863,0.007322757,0.951097,0.0002496808,0.00005476977,0.02718425],"study_design_scores_gemma":[0.000005920165,0.0004428315,0.04380691,0.0000163573,0.00002548091,0.0001570798,0.0000852036,0.03871546,0.9150119,0.0001258536,0.001563319,0.00004364063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8892313,0.0009432874,0.107195,0.00002696219,0.00002488965,0.00007873704,0.0003628807,0.0004042792,0.001732616],"genre_scores_gemma":[0.9861903,0.0001580764,0.01320076,0.000004209255,0.000003980017,0.00002911777,0.0001544681,0.00003592483,0.0002230733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001116316,"threshold_uncertainty_score":0.003831089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006328457139546516,"score_gpt":0.2450966131152327,"score_spread":0.2387681559756862,"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."}}