{"id":"W2762359815","doi":"10.1016/j.msea.2017.10.004","title":"Method to decode stress-strain diagrams to identify the structure-strength relationships in aged aluminum alloys","year":2017,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of Waterloo; Université Laval; Queen's University","funders":"","keywords":"Materials science; Ultimate tensile strength; Void (composites); Extrusion; Tensile testing; Plasticity; Alloy; Deformation (meteorology); Flow stress; Structural engineering; Composite material; Engineering","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":[0.0002805633,0.0005835039,0.0003425005,0.001594209,0.0003164945,0.0007078343,0.0007091688,0.0007464738,0.003376611],"category_scores_gemma":[0.001625003,0.0003322987,0.0003255491,0.0007352841,0.0002541911,0.0006252153,0.0004545258,0.000639825,0.001179475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002903845,"about_ca_system_score_gemma":0.000731965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002517539,"about_ca_topic_score_gemma":0.00377383,"domain_scores_codex":[0.9998959,0.00001577145,0.000006265388,0.0000273862,0.00004112739,0.00001342715],"domain_scores_gemma":[0.9995401,0.0001501217,0.00006122062,0.00006558256,0.0001556581,0.00002738026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005299677,0.0002427202,0.007316506,0.0003415567,0.0001248404,0.0003257289,0.0002514022,0.1120501,0.3099627,0.02572719,0.006789308,0.5363379],"study_design_scores_gemma":[0.00002170097,0.00005106671,0.001859294,0.00001312985,0.0000272767,0.0001407204,0.00004986758,0.9368865,0.04592703,0.008604977,0.006385708,0.00003274209],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0544112,0.0002609747,0.9380398,0.0001203163,0.00007144019,0.00006572992,0.0009910512,0.004318647,0.001720775],"genre_scores_gemma":[0.3055474,0.000283652,0.6875105,0.00005458618,0.00003456736,0.0001073315,0.00156656,0.0006920312,0.00420336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003376611,"threshold_uncertainty_score":0.01129586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02991937232344655,"score_gpt":0.2952015691856186,"score_spread":0.265282196862172,"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."}}