{"id":"W2043390166","doi":"10.1007/s12666-011-0002-z","title":"Analysis of the secondary phases in the microstructure of 319 type Al alloy engine blocks using electron microscopy and nanoindentation","year":2011,"lang":"en","type":"article","venue":"Transactions of the Indian Institute of Metals","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Magna International (Canada); Toronto Metropolitan University","funders":"AUTO21 Network of Centres of Excellence; Natural Sciences and Engineering Research Council of Canada","keywords":"Microstructure; Materials science; Alloy; Nanoindentation; Castability; Metallurgy; Scanning electron microscope; Optical microscope; Phase (matter); Cylinder; Aluminium; Composite material; Geometry","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":[0.0001034968,0.00009083253,0.00009912031,0.0005170496,0.0002118545,0.0002184879,0.0001626278,0.000228413,0.001486131],"category_scores_gemma":[0.0001535422,0.0001343553,0.0001063419,0.0001848485,0.0002309396,0.0001865672,0.00007549257,0.0001662463,0.0001928147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600652,"about_ca_system_score_gemma":0.000129717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290206,"about_ca_topic_score_gemma":0.003605466,"domain_scores_codex":[0.9999403,0.000003429768,0.000003319303,0.00001096509,0.00003372058,0.000008240699],"domain_scores_gemma":[0.9998281,0.0000347257,0.00003193558,0.00001559667,0.00007577019,0.00001384829],"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":[0.0001155251,0.00001902841,0.003625305,0.00003859106,0.000004684632,0.00009944126,0.00008038987,0.001080977,0.9898164,0.0002982375,0.0000763569,0.004745016],"study_design_scores_gemma":[0.00001035823,0.0002656686,0.166419,0.00001251973,0.00002208082,0.0005838934,0.0002563745,0.0301363,0.7993672,0.0002792875,0.002631851,0.00001537593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931781,0.0002211474,0.004374708,0.0000221746,0.000007331729,0.00001269293,0.0001876243,0.00005460424,0.001941607],"genre_scores_gemma":[0.9968638,0.00005089666,0.00197538,0.000005263811,0.000002191372,0.000005299417,0.0001125656,0.000007406391,0.000977214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001486131,"threshold_uncertainty_score":0.004971564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695698186123832,"score_gpt":0.2430726120376661,"score_spread":0.2261156301764278,"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."}}