{"id":"W1977362239","doi":"10.4028/www.scientific.net/msf.794-796.1121","title":"Effect of Thermomechanical Processing on Electrical and Mechanical Properties of Aluminum Conductor Alloys","year":2014,"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":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Rod; Extrusion; Ultimate tensile strength; Electron backscatter diffraction; Composite material; Optical microscope; Electrical resistivity and conductivity; Precipitation; Metallurgy; Aluminium; Elongation; Transmission electron microscopy; Microstructure; Scanning electron microscope; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003012792,0.0002411327,0.0006336616,0.0001175991,0.0001994766,0.0001170499,0.0005838844,0.0001236101,0.0001377386],"category_scores_gemma":[0.0008636247,0.0001414155,0.00004964574,0.0002340264,0.0008699522,0.0002960392,0.0002931767,0.00009015158,0.00001856566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003008301,"about_ca_system_score_gemma":0.0001032183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003900747,"about_ca_topic_score_gemma":0.000002056756,"domain_scores_codex":[0.9974847,0.0002982956,0.0005001943,0.0005441151,0.000605531,0.0005671371],"domain_scores_gemma":[0.9990235,0.00009404686,0.0002624214,0.0003431387,0.0001360889,0.0001407988],"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":[0.0004443009,0.00003359536,0.000006402086,0.0001920581,0.000002095587,4.232654e-7,0.00007670243,9.329398e-7,0.9919378,0.004068706,0.00002291118,0.003214139],"study_design_scores_gemma":[0.0004243258,0.002696268,0.00001973635,0.000163821,0.00002019568,0.00001528784,0.00002704807,0.0004007597,0.9953015,0.0006913397,0.00006739399,0.0001723105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986191,0.00008714667,0.000153452,0.0001770836,0.0004479121,0.0003748522,0.00001088245,0.00004870709,0.00008088184],"genre_scores_gemma":[0.9993731,0.000005112282,0.0003601296,0.0001274437,0.000059149,0.00002081555,7.681409e-7,0.00001929498,0.00003413449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003377366,"threshold_uncertainty_score":0.5766755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180898266823867,"score_gpt":0.2381698451963836,"score_spread":0.2263608625281449,"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."}}