{"id":"W4414408459","doi":"10.1007/s11665-025-12122-4","title":"Microstructural Observations of X70 Pipeline Steels Evaluated by Hydrogen Permeation and Drop Weight Tear Tests to Propose a Statistically Based, Cost-Effective Model","year":2025,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Hydrogen embrittlement; Toughness; Carbide; Hydrogen; Grain size; Pipeline (software); Drop (telecommunication); Misorientation","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":[0.000177527,0.0004141906,0.00017487,0.0004810821,0.0001811771,0.0001991508,0.00050329,0.0004665146,0.0007931602],"category_scores_gemma":[0.000263394,0.0002294476,0.0002620599,0.0003136081,0.0002279003,0.0002739122,0.0001227723,0.000176202,0.0002513806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004014345,"about_ca_system_score_gemma":0.0002963558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006602276,"about_ca_topic_score_gemma":0.01375528,"domain_scores_codex":[0.9998771,0.000008795782,0.000007187952,0.00003178437,0.00005935645,0.00001584829],"domain_scores_gemma":[0.9998552,0.00002489861,0.00003942601,0.00001538756,0.00005933845,0.000005746567],"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":[0.0003467841,0.0001155146,0.0322144,0.0001442882,0.00004081706,0.0003386822,0.0001312865,0.163078,0.7762964,0.0008469191,0.0005284025,0.02591855],"study_design_scores_gemma":[0.00001310076,0.0004698361,0.146456,0.000006280752,0.00003342416,0.0002360375,0.0001814015,0.6730651,0.1780493,0.0004713377,0.0009849581,0.00003315551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.942664,0.0000989359,0.05453914,0.00004017528,0.000007551144,0.00004745946,0.0007731236,0.0004522202,0.001377465],"genre_scores_gemma":[0.9963445,0.00002175584,0.00303514,0.000002943668,8.932569e-7,0.00000911288,0.0002165294,0.000007704745,0.0003613246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006602276,"threshold_uncertainty_score":0.01312774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217024159005626,"score_gpt":0.2639480884688645,"score_spread":0.2517778468788083,"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."}}