{"id":"W4388142022","doi":"10.1007/s40192-023-00309-3","title":"Multi-physics Approach to Predict Fatigue Behavior of High Strength Aluminum Alloy Repaired via Additive Friction Stir Deposition","year":2023,"lang":"en","type":"article","venue":"Integrating materials and manufacturing innovation","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Strategic Environmental Research and Development Program","keywords":"Microstructure; Materials science; Alloy; Deposition (geology); Friction stir processing; Deformation (meteorology); Aluminium; Raw material; Composite material; Metallurgy","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":[0.0002232323,0.0002548411,0.0002900796,0.0002621013,0.0001144352,0.00009266827,0.0001014062,0.0001213827,0.000008789282],"category_scores_gemma":[0.00004245697,0.0002399376,0.00002663891,0.0003455254,0.00003425575,0.000298834,0.00007049103,0.0001187407,0.000006195974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008694715,"about_ca_system_score_gemma":0.000010042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003183386,"about_ca_topic_score_gemma":0.00001114187,"domain_scores_codex":[0.9986296,0.00004471997,0.0006002762,0.0002894794,0.0002015374,0.0002344428],"domain_scores_gemma":[0.9994395,0.00003655862,0.0001601851,0.0001920005,0.0001366159,0.00003514266],"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":[0.00002689663,0.00005276671,0.0000892356,0.0001871012,0.00005213273,0.000001969328,0.0009611932,0.006613452,0.9738306,0.0002404059,0.0001566973,0.0177875],"study_design_scores_gemma":[0.0002574686,0.00009889712,0.01686352,0.0001582131,0.00003363845,0.000006127067,0.0002432911,0.02520802,0.9568156,0.00005467045,0.00002227303,0.0002382809],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363035,0.000004607349,0.06176708,0.000009529348,0.0005167468,0.000518123,0.0001256829,0.000699457,0.00005530068],"genre_scores_gemma":[0.9720939,0.000008847508,0.02651782,0.00001276408,0.0001566887,0.0002681519,0.000850033,0.00005663009,0.00003511886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03579047,"threshold_uncertainty_score":0.978437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341455371008531,"score_gpt":0.2292310578950611,"score_spread":0.2058165041849758,"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."}}