{"id":"W2052211769","doi":"10.1016/j.msea.2012.03.094","title":"Improvements of strength and ductility in aluminum alloy joints via rapid cooling during friction stir welding","year":2012,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materials science; Base metal; Strain hardening exponent; Alloy; Ultimate tensile strength; Ductility (Earth science); Metallurgy; Welding; Hardening (computing); Composite material; Aluminium; Friction stir welding; Microstructure","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":[0.0002386534,0.0002576028,0.000335602,0.0002523286,0.0002312516,0.0002337495,0.0003355122,0.0002031434,0.001025939],"category_scores_gemma":[0.0004045621,0.0002148843,0.0002143935,0.0001829056,0.0003184765,0.0002935387,0.0002183651,0.0002230286,0.0002011698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002172683,"about_ca_system_score_gemma":0.0002731982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000974034,"about_ca_topic_score_gemma":0.001557275,"domain_scores_codex":[0.9998759,0.00001501096,0.000006009194,0.00002183797,0.00004701216,0.00003435883],"domain_scores_gemma":[0.999775,0.00005237343,0.00005865267,0.0000244709,0.00006879128,0.00002079639],"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":[0.0002854129,0.00002095545,0.0004652624,0.00005901906,0.000006374939,0.00003778509,0.00006010165,0.001122452,0.9946431,0.0001016084,0.00004491595,0.00315299],"study_design_scores_gemma":[0.00001843711,0.0003936303,0.004210662,0.00000392148,0.00001591984,0.00005590153,0.00003188878,0.00463575,0.9900704,0.00003450703,0.0005162774,0.00001280517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967809,0.0004473635,0.002053255,0.00001613438,0.000009047614,0.000005693033,0.00001555338,0.00005103799,0.0006211492],"genre_scores_gemma":[0.9990459,0.00006789278,0.0004543746,0.00000251634,0.00000288205,0.000002382107,0.00001208491,0.00001254272,0.0003993683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001025939,"threshold_uncertainty_score":0.003432155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007242653034793317,"score_gpt":0.2137639512466518,"score_spread":0.2065212982118585,"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."}}