{"id":"W2892826636","doi":"10.3390/met8100746","title":"Influence of Thermal Aging Parameters on the Characteristics of Aluminum Semi-Solid Alloys","year":2018,"lang":"en","type":"article","venue":"Metals","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Chicoutimi","keywords":"Materials science; Intermetallic; Alloy; Aluminium; Microstructure; Transmission electron microscopy; Scanning electron microscope; Metallurgy; Thermal; Thermal conductivity; Composite material; Thermal treatment; Nanotechnology; Thermodynamics","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":[0.0002514218,0.0001626466,0.0002868261,0.00005216613,0.00003536756,0.0000145479,0.0003103765,0.00005627367,0.00005726806],"category_scores_gemma":[0.0001203805,0.0001076579,0.00006956108,0.000107336,0.0003078469,0.00009073545,0.00005548574,0.0001242544,0.00004089109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002045178,"about_ca_system_score_gemma":0.00001156413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001666845,"about_ca_topic_score_gemma":0.000002577302,"domain_scores_codex":[0.9990966,0.00004559391,0.0003517342,0.0001204345,0.0001783744,0.0002072596],"domain_scores_gemma":[0.999273,0.000109983,0.0001114923,0.0003835469,0.00009311983,0.00002888558],"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":[0.00001235326,0.000007818799,0.0006862576,0.00006033019,0.0001295093,8.211302e-7,0.001434443,0.007576349,0.988849,0.00007387377,0.0001045167,0.001064767],"study_design_scores_gemma":[0.00007744486,0.00006176756,0.0135247,0.00007666083,0.00003854361,0.000003147319,0.0000497013,0.002114638,0.9831393,0.00003375159,0.0007516288,0.0001286892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998856,0.0001086023,0.0001046777,0.00005107567,0.0001348004,0.0001403553,0.0000205658,0.00005410285,0.0005298354],"genre_scores_gemma":[0.9991538,0.00001431345,0.0005252342,0.0001278036,0.00006577707,0.000008295754,0.000001865964,0.00003309844,0.00006979865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01283844,"threshold_uncertainty_score":0.4390161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321740321583182,"score_gpt":0.2193664598813348,"score_spread":0.206149056665503,"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."}}