{"id":"W1988363229","doi":"10.1016/j.msea.2011.01.032","title":"Influence of applied pressure on microstructure and tensile properties of squeeze cast magnesium Mg–Al–Ca alloy","year":2011,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario; University of Windsor","keywords":"Ultimate tensile strength; Materials science; Microstructure; Alloy; Elongation; Scanning electron microscope; Magnesium alloy; Metallurgy; Casting; Composite material; Porosity; Tensile testing; Magnesium","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":[0.0001198614,0.0001333546,0.0002103322,0.0001691007,0.0002600629,0.0003476937,0.0002164844,0.000261743,0.001478565],"category_scores_gemma":[0.0004275689,0.0002762967,0.0001509937,0.0002084941,0.0002789624,0.0002403248,0.0001437581,0.0002421853,0.0001586215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002409062,"about_ca_system_score_gemma":0.0002237673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002021871,"about_ca_topic_score_gemma":0.003940169,"domain_scores_codex":[0.999879,0.0000101562,0.000006881592,0.00002133838,0.00005653287,0.00002608663],"domain_scores_gemma":[0.9997596,0.00007649297,0.00005978724,0.00002040496,0.00005342464,0.00003025516],"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":[0.0004413698,0.00002242187,0.00112524,0.00006078624,0.00001106164,0.0001521472,0.0000636891,0.0004120014,0.9961185,0.00006689932,0.00005050519,0.001475307],"study_design_scores_gemma":[0.00002997528,0.0005021819,0.04951459,0.000007935176,0.00003369992,0.0001307541,0.0001447413,0.005119128,0.9435996,0.00005404031,0.0008477409,0.00001563618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990119,0.0002382856,0.0001281508,0.00001816419,0.000007192644,0.000002801795,0.00004644502,0.0000121303,0.0005350066],"genre_scores_gemma":[0.9994855,0.00008423954,0.00009956523,0.000006229031,0.000004939515,0.000002184259,0.00003376709,0.000005255956,0.0002783355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002021871,"threshold_uncertainty_score":0.004946232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066426785025806,"score_gpt":0.177410919260075,"score_spread":0.166746651409817,"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."}}