{"id":"W2006918613","doi":"10.1016/j.msea.2014.01.011","title":"Effect of Sr-modification on the bendability of cast aluminum alloy A356 using digital image correlation method","year":2014,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Materials science; Microstructure; Scanning electron microscope; Alloy; Digital image correlation; Eutectic system; Composite material; Ultimate tensile strength; Bending; Bent molecular geometry; Magnification; Aluminium; Optical microscope; Casting; Metallurgy; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001435296,0.0001257976,0.0001938845,0.00007943295,0.00005398171,0.00008082132,0.0001544914,0.00003929498,0.000007674321],"category_scores_gemma":[0.0004322618,0.00008552923,0.00001961512,0.0001715945,0.000187605,0.0002640206,0.00004078426,0.00005045474,0.000001848766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004548467,"about_ca_system_score_gemma":0.00001132819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001839867,"about_ca_topic_score_gemma":2.119258e-7,"domain_scores_codex":[0.9992348,0.0000330081,0.0002231005,0.0001514305,0.0001976181,0.0001600242],"domain_scores_gemma":[0.9994763,0.0001589069,0.00005127723,0.0002183082,0.00006511607,0.00003011425],"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":[0.000009990962,0.00000220781,0.00004906041,0.0001626256,0.000004240229,6.259017e-8,0.0002821451,0.04032745,0.957882,0.000110519,0.000002266906,0.001167386],"study_design_scores_gemma":[0.0000670199,0.00006815704,0.001095806,0.00004366122,0.000009400318,0.000005476905,0.00001342369,0.2007362,0.7978553,0.00001239016,0.00001996016,0.00007322968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985641,0.00001676056,0.01376934,0.000009053946,0.0002890772,0.0001551044,0.00001553453,0.00005113443,0.00005299954],"genre_scores_gemma":[0.9978072,0.000002008507,0.002135394,0.000002033396,0.00002913965,0.000005823844,0.000002002264,0.00001456986,0.000001815633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1604088,"threshold_uncertainty_score":0.3487781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008740662589465827,"score_gpt":0.2301588751532414,"score_spread":0.2214182125637756,"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."}}