{"id":"W2588429432","doi":"10.1007/978-3-319-52392-7_79","title":"Processing and Properties of As-Cast Magnesium AM60-Based Composite Containing Alumina Nano Particles and Micron Fibres","year":2017,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Materials science; Composite material; Ultimate tensile strength; Microstructure; Alloy; Composite number; Ductility (Earth science); Magnesium alloy; Metal matrix composite; Creep","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":[0.00008497368,0.0001492636,0.0001566417,0.0002209118,0.0001624899,0.0002042368,0.0001801235,0.0002326363,0.001605869],"category_scores_gemma":[0.00009276416,0.0001137202,0.0001901397,0.0001884944,0.0001179408,0.0002285215,0.00009018394,0.000273912,0.0004573473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001504156,"about_ca_system_score_gemma":0.0001241348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006135973,"about_ca_topic_score_gemma":0.001251258,"domain_scores_codex":[0.9999324,0.000002148782,0.0000024925,0.00001494941,0.00003838171,0.00000959787],"domain_scores_gemma":[0.9999549,0.00000906376,0.00001113244,0.000004224667,0.00001382243,0.000006883165],"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":[0.000064129,0.00001062286,0.00009778981,0.00004588105,0.000002098034,0.000037415,0.00002095881,0.0001514978,0.9974025,0.00006543657,0.0001016355,0.001999934],"study_design_scores_gemma":[0.00000334195,0.0001532713,0.004337824,0.000005784496,0.000008365148,0.00008836498,0.00002923446,0.0009649521,0.9926593,0.00004913475,0.00169389,0.000006585966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891469,0.001739458,0.001213158,0.0000368641,0.00005097346,0.00001343632,0.0002819295,0.00006233987,0.007454945],"genre_scores_gemma":[0.9865814,0.0005730649,0.001401401,0.00002453751,0.000009766875,0.00001021247,0.0003024419,0.00003654311,0.01106065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001605869,"threshold_uncertainty_score":0.005372167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076739534872714,"score_gpt":0.2044845241505168,"score_spread":0.1837171288017896,"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."}}