{"id":"W2085261385","doi":"10.1007/s11661-011-0904-8","title":"Three-Orthogonal-Direction Stress Mapping around a Fatigue-Crack Tip Using Neutron Diffraction","year":2011,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of British Columbia","funders":"Division of Ocean Sciences; National Taiwan Ocean University; Korea Atomic Energy Research Institute","keywords":"Materials science; Crack closure; Neutron diffraction; Residual stress; Crack growth resistance curve; Diffraction; Stress concentration; Composite material; Crack tip opening displacement; Tension (geology); Stress intensity factor; Amplitude; Paris' law; Ultimate tensile strength; Structural engineering; Fracture mechanics; Optics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001417506,0.0002157373,0.0002871821,0.00009975195,0.0001803767,0.0001001389,0.00005909509,0.0001593597,0.000888248],"category_scores_gemma":[0.000002919895,0.000206759,0.00007981224,0.000146417,0.00004664381,0.0003709586,0.000005520794,0.0001613836,0.00001449938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003470563,"about_ca_system_score_gemma":0.000006949189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005284534,"about_ca_topic_score_gemma":0.0003005302,"domain_scores_codex":[0.99902,0.00003559489,0.0003219949,0.0002387708,0.0001265702,0.0002570692],"domain_scores_gemma":[0.9996587,0.00002105091,0.00005204824,0.0001376326,0.00002936563,0.0001011765],"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":[0.0002566298,0.0005936706,0.00005157539,0.0009124391,0.0008565609,0.00009290857,0.001577694,0.02561806,0.9353461,0.001943719,0.00003220135,0.03271845],"study_design_scores_gemma":[0.00399179,0.000467288,0.04278409,0.0007566868,0.001690487,0.00112804,0.001781131,0.6533703,0.2670645,0.006885882,0.01652777,0.003551994],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4585489,0.0001379154,0.5400438,0.000009441871,0.000725851,0.0001376317,0.00002338973,0.0001925803,0.0001805148],"genre_scores_gemma":[0.9948242,0.0002845326,0.004612618,0.00001318797,0.0001254574,0.00003534735,0.0000207152,0.00003736651,0.00004655797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6682816,"threshold_uncertainty_score":0.9725692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05476722316101332,"score_gpt":0.2258544134809947,"score_spread":0.1710871903199814,"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."}}