{"id":"W2081433763","doi":"10.1361/105994905x56151","title":"Microstructure and Tensile Properties of Squeeze Cast Magnesium Alloy AM50","year":2005,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Ford Motor Company","keywords":"Materials science; Microstructure; Ultimate tensile strength; Alloy; Fractography; Magnesium alloy; Metallurgy; Die (integrated circuit); Tensile testing; Die casting; Scanning electron microscope; Composite material; Casting","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":[0.0001021448,0.0001195019,0.0001646853,0.0002843338,0.0002370101,0.000258079,0.0002516219,0.000313839,0.001946601],"category_scores_gemma":[0.0002227806,0.0001887285,0.0001441137,0.0001897223,0.0002362642,0.0001880865,0.0001074965,0.000142887,0.0002499407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003886459,"about_ca_system_score_gemma":0.0002352313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005692224,"about_ca_topic_score_gemma":0.01161431,"domain_scores_codex":[0.9999106,0.000004931141,0.000003933204,0.00001678392,0.00004767956,0.00001605735],"domain_scores_gemma":[0.9998629,0.00001976907,0.00003129253,0.00001281907,0.00005295464,0.00002021588],"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":[0.0002266634,0.00001977213,0.002138454,0.00003507142,0.000007193694,0.0001031132,0.00005012933,0.0005096216,0.9945148,0.0002044948,0.000120656,0.002069992],"study_design_scores_gemma":[0.00003324497,0.0008691229,0.2241842,0.00001593265,0.00005166183,0.0003647558,0.0002933487,0.01315241,0.7582279,0.000191336,0.002588378,0.0000276596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984331,0.0002055632,0.0001745947,0.00001327938,0.000004537963,0.000002292545,0.00009024546,0.00001719424,0.001059247],"genre_scores_gemma":[0.9986655,0.00004752773,0.0001603565,0.000006471298,0.000002268245,0.000002164667,0.0001086582,0.00000537364,0.001001736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005692224,"threshold_uncertainty_score":0.01131815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005831073585450302,"score_gpt":0.1549821137465505,"score_spread":0.1491510401611002,"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."}}