{"id":"W3003465052","doi":"10.1007/978-3-030-36408-3_29","title":"Effects of Si on the Electrical Conductivity, Microhardness, Microstructure and Hot Tearing of Al–0.8Fe–0.5Mg–0.4Ni Alloys","year":2020,"lang":"en","type":"book-chapter","venue":"˜The œminerals, metals & materials series","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Guelph","funders":"","keywords":"Microstructure; Tearing; Materials science; Indentation hardness; Electrical resistivity and conductivity; Metallurgy; Composite material; Electrical engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004335397,0.001134473,0.002028162,0.0001522007,0.0001732474,0.0002178928,0.0007861758,0.0005367404,0.0002938086],"category_scores_gemma":[0.0001092531,0.0007022843,0.0002750191,0.0001013703,0.0009631002,0.0002340697,0.0004474577,0.0006823487,0.0000254306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006446193,"about_ca_system_score_gemma":0.00006878842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009676292,"about_ca_topic_score_gemma":0.0000324704,"domain_scores_codex":[0.9970485,0.0002173427,0.001066021,0.0006506076,0.0004805858,0.0005369333],"domain_scores_gemma":[0.9980178,0.0003765879,0.000564729,0.0007845262,0.0001548278,0.0001014799],"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":[0.0002987538,0.00001011971,0.000002614696,0.001449123,0.0008112609,0.00001997942,0.000522517,0.00003907198,0.9873544,0.005064612,0.00431472,0.0001128578],"study_design_scores_gemma":[0.0003835465,0.0002239851,0.0001381701,0.0003604793,0.0005262716,0.000129263,0.00003408864,0.00001127225,0.9543335,0.002932339,0.04021606,0.0007110402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763586,0.01477297,0.00002073375,0.0005806285,0.002168588,0.002242557,0.0007652715,0.0002978275,0.002792838],"genre_scores_gemma":[0.983757,0.001541333,0.0003421463,0.0004450866,0.0005415321,0.00007608864,0.00008640443,0.0004006512,0.01280975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03590134,"threshold_uncertainty_score":0.9995428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105433737296247,"score_gpt":0.1897621201935454,"score_spread":0.1787077828205829,"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."}}