{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003248072,0.0004030133,0.0004166132,0.0006092516,0.0004617013,0.0004834415,0.0007060035,0.001039117,0.001224621],"category_scores_gemma":[0.0007753208,0.0003605976,0.0007355805,0.0002314813,0.0004373922,0.00034657,0.0003197125,0.0003950314,0.0001630035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326606,"about_ca_system_score_gemma":0.001124858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02230949,"about_ca_topic_score_gemma":0.01145719,"domain_scores_codex":[0.9998982,0.00001499959,0.000005421272,0.00001478239,0.00004807419,0.00001861244],"domain_scores_gemma":[0.9996958,0.0001334486,0.00004655303,0.00002590416,0.00006811658,0.00003008027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003434811,0.00003537307,0.001091967,0.00001249297,0.000009435044,0.00004802921,0.00001895588,0.9916406,0.005449873,0.0003376954,0.00004717675,0.001274159],"study_design_scores_gemma":[0.000004499743,0.00001975945,0.0003490312,6.986377e-7,0.000001863192,0.000003656608,0.000003675972,0.9986218,0.0009120897,0.0000348552,0.00004569769,0.000002413915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386764,0.0001345297,0.05317958,0.0001521464,0.00003317887,0.0001041438,0.0002696308,0.0004433366,0.007007043],"genre_scores_gemma":[0.9939295,0.00002671249,0.005069748,0.00001329943,0.000003690335,0.00002936083,0.00005670167,0.00001970881,0.0008512947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02230949,"threshold_uncertainty_score":0.04435927,"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."}}