{"id":"W2100833631","doi":"10.4028/www.scientific.net/msf.519-521.1493","title":"Historical Evolution of Thermomechanical Processes Applied to Aluminium Alloys","year":2006,"lang":"en","type":"article","venue":"Materials science forum","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Substructure; Materials science; Microstructure; Metallurgy; Extrusion; Metallography; Annealing (glass); Thermomechanical processing; Aluminium; Quenching (fluorescence); Texture (cosmology); Grain size; Structural engineering; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0009706166,0.0001881458,0.0003724896,0.0001517972,0.0002444007,0.0001258486,0.0007852783,0.00009083848,0.0003963299],"category_scores_gemma":[0.0001979364,0.0001382832,0.00003411183,0.0005815722,0.000263458,0.0002703685,0.0003292058,0.00004456191,0.0001684951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004010707,"about_ca_system_score_gemma":0.0003217442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006578946,"about_ca_topic_score_gemma":0.00005290547,"domain_scores_codex":[0.9976514,0.00003369718,0.0004967066,0.000553843,0.00061906,0.0006453102],"domain_scores_gemma":[0.999064,0.0000276961,0.0001810064,0.0003726126,0.000223618,0.0001310642],"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":[0.00009385815,0.00005193031,0.0000155408,0.00005375652,6.499735e-7,7.077646e-7,0.00005178507,0.00001791976,0.9815751,0.01615209,0.001898567,0.00008812522],"study_design_scores_gemma":[0.0001482409,0.000171821,0.0001862678,0.00002263507,0.000007647351,0.000006689056,0.00007619117,0.000003339671,0.9891773,0.005961148,0.00404804,0.0001906492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913175,0.00008897462,0.004923075,0.0006584214,0.001415875,0.0004029277,0.00002526727,0.0001081246,0.001059841],"genre_scores_gemma":[0.9959829,0.000001284413,0.003274573,0.0001280327,0.0001685019,0.00004625391,0.00000176999,0.00001665657,0.0003800064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01019094,"threshold_uncertainty_score":0.5639025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009608234682021303,"score_gpt":0.214002605409323,"score_spread":0.2043943707273017,"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."}}