{"id":"W4408746251","doi":"10.1016/j.tafmec.2025.104941","title":"Experimental characterization of fracture toughness of X52 pipe steel using CT, SENB, and SENT specimens","year":2025,"lang":"en","type":"article","venue":"Theoretical and Applied Fracture Mechanics","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Enbridge; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Materials science; Fracture toughness; Characterization (materials science); Composite material; Structural engineering; Engineering; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001483799,0.0002994603,0.0004849176,0.0001020097,0.00006271341,0.00002295452,0.0001134817,0.000196117,0.0001110443],"category_scores_gemma":[0.0000109862,0.0002534213,0.00005485736,0.0001850871,0.0001178976,0.00006300665,0.00008534377,0.0002994754,8.017285e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002756352,"about_ca_system_score_gemma":0.00001684625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002197793,"about_ca_topic_score_gemma":2.921799e-7,"domain_scores_codex":[0.9988866,0.00002575454,0.0003858052,0.0002631211,0.0001955964,0.0002431229],"domain_scores_gemma":[0.9994496,0.00008329523,0.00009572016,0.0002439647,0.00003901337,0.00008838612],"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":[0.00005744884,0.00005605994,0.000003918969,0.0001920388,0.00005409167,0.000002125708,0.0003119858,0.0005518681,0.6454217,0.3521088,0.00001455412,0.001225342],"study_design_scores_gemma":[0.0005021899,0.00004548129,0.00005729446,0.0001008423,0.0000961091,0.000008210801,0.0003371342,0.03556837,0.9348715,0.02702699,0.001147319,0.0002385885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6517678,0.0004079168,0.3460464,0.0001489007,0.0002460064,0.0003778408,0.00003992501,0.00007637038,0.0008888519],"genre_scores_gemma":[0.9982901,0.0001002396,0.001090709,0.0003594171,0.00006984288,0.000007962021,0.00003751056,0.00003486106,0.000009328788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3465223,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004894403675382071,"score_gpt":0.2087351048384825,"score_spread":0.2038407011631004,"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."}}