{"id":"W3020934856","doi":"","title":"Neutron Diffraction Residual Stress Mapping For Industry","year":2006,"lang":"en","type":"article","venue":"The Sixteenth International Offshore and Polar Engineering Conference","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Neutron diffraction; Residual stress; Diffraction; Residual; Stress (linguistics); Materials science; Environmental science; Computer science; Composite material; Physics; Optics; Algorithm","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":[0.0006124793,0.0005015069,0.0003797062,0.00167881,0.000544405,0.0006829141,0.0004785383,0.001195128,0.003694966],"category_scores_gemma":[0.0006639172,0.0003434345,0.0001914976,0.001176231,0.0002982009,0.0007893879,0.0005581712,0.000345986,0.0009574066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004104747,"about_ca_system_score_gemma":0.0005308669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00276951,"about_ca_topic_score_gemma":0.006133907,"domain_scores_codex":[0.9997063,0.00004003248,0.00001641469,0.00005288059,0.0001514415,0.00003283516],"domain_scores_gemma":[0.999419,0.00004972922,0.00005335756,0.000101051,0.0003379288,0.0000389618],"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":[0.0009755238,0.0001778111,0.02561596,0.0002712648,0.00003206767,0.0003042716,0.0002263793,0.01380671,0.7786528,0.00212912,0.003609843,0.1741982],"study_design_scores_gemma":[0.00009963482,0.001471513,0.09360985,0.0001211358,0.00009477683,0.001523629,0.0008727466,0.1132572,0.7413778,0.002673212,0.04480203,0.00009653309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.853951,0.003052863,0.1076277,0.0008214077,0.000125307,0.00009927263,0.001201473,0.002362844,0.0307581],"genre_scores_gemma":[0.9649957,0.0005500144,0.02644095,0.00005624615,0.00001719066,0.00002098593,0.0006254803,0.0001102062,0.007183203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003694966,"threshold_uncertainty_score":0.01236087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073771617738598,"score_gpt":0.2313681401271371,"score_spread":0.2206304239497511,"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."}}