{"id":"W4319780546","doi":"10.1007/978-3-031-22532-1_45","title":"Shear Assisted Processing and Extrusion of Unhomogenized Aluminum Alloy 6063 Castings with High Iron Content","year":2023,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Magna International (Canada)","funders":"","keywords":"Materials science; Extrusion; Metallurgy; Scrap; Alloy; Ultimate tensile strength; Intermetallic; Aluminium; Shear (geology); Composite material","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":[0.0005431754,0.001069761,0.001778289,0.0002152732,0.0002294838,0.0003303928,0.0004171311,0.0004809424,0.0003189138],"category_scores_gemma":[0.0000329121,0.000712831,0.0001310257,0.00009662174,0.0007356061,0.000397695,0.0003217096,0.0003134631,0.00003269607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009231369,"about_ca_system_score_gemma":0.0000839877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000329748,"about_ca_topic_score_gemma":0.000287157,"domain_scores_codex":[0.9968801,0.00009077232,0.001234621,0.0006533707,0.000567987,0.0005731743],"domain_scores_gemma":[0.9982578,0.00007916256,0.0006228011,0.0006328998,0.0002927198,0.000114577],"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":[0.0003422461,0.000007295986,0.000003533148,0.001801045,0.000378554,0.00005198305,0.0006653977,0.000180677,0.9949759,0.0005845884,0.0003043547,0.0007043926],"study_design_scores_gemma":[0.002820939,0.0008216489,0.0008987458,0.004441902,0.002571425,0.001227018,0.0007483058,0.0002034382,0.9511957,0.001784752,0.0297011,0.003585072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871868,0.004902078,0.00004189077,0.0001625727,0.001499548,0.001545989,0.0006324557,0.0009144476,0.003114173],"genre_scores_gemma":[0.784118,0.000684744,0.002249468,0.00005629197,0.0003893747,0.0001240862,0.000304208,0.0006722779,0.2114015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2082874,"threshold_uncertainty_score":0.9995323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02677139636074602,"score_gpt":0.1978816582040836,"score_spread":0.1711102618433376,"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."}}