{"id":"W2899967445","doi":"10.1007/s00170-018-2957-y","title":"Effect of MQL on the microstructure and strength of friction stir welded 6061 Al alloy","year":2018,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","keywords":"Materials science; Friction stir welding; Microstructure; Lubrication; Ultimate tensile strength; Metallurgy; Welding; Lubricant; Alloy; Grain size; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003159386,0.0001977099,0.0003018682,0.0002824609,0.0002842552,0.000407028,0.0003410945,0.0003753931,0.001842439],"category_scores_gemma":[0.0009584356,0.000288912,0.0002459609,0.0001846729,0.0004171483,0.0003681554,0.0002789818,0.00025676,0.000261876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005777439,"about_ca_system_score_gemma":0.0002784921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003520313,"about_ca_topic_score_gemma":0.005067383,"domain_scores_codex":[0.9997783,0.00002342342,0.00001807744,0.0000455193,0.0000917637,0.00004289891],"domain_scores_gemma":[0.999442,0.0001251669,0.0001551568,0.00003862706,0.0001820141,0.00005696065],"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":[0.0004734724,0.00002527527,0.0009252462,0.0000654181,0.00001488226,0.00008750661,0.00008212978,0.0004383544,0.9965343,0.00005718839,0.00004941395,0.001246703],"study_design_scores_gemma":[0.00002952998,0.0006561767,0.01473011,0.000009893133,0.00005521227,0.00007548443,0.0001056352,0.002863457,0.9807263,0.00003662749,0.0006937362,0.00001784596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988599,0.0004185399,0.0002363062,0.00004146142,0.00001382751,0.000003733304,0.0000556262,0.00002799327,0.0003426093],"genre_scores_gemma":[0.9992478,0.00009234684,0.0001534257,0.00001933057,0.000005267078,0.000002397383,0.00002798473,0.00000932212,0.0004421287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003520313,"threshold_uncertainty_score":0.006999612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003628660244797145,"score_gpt":0.2415975530549893,"score_spread":0.2379688928101922,"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."}}