{"id":"W343443643","doi":"10.1023/a:1027385619114","title":"Effect of solution heat treatment and additives on the hardness, tensile properties and fracture behaviour of Al-Si (A413.1) automotive alloys","year":2003,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Materials science; Eutectic system; Ultimate tensile strength; Microstructure; Alloy; Metallurgy; Precipitation; Vickers hardness test; Dendrite (mathematics); Casting; Tensile testing; Izod impact strength test; Dissolution; Precipitation hardening; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026866,0.0004069147,0.0004438486,0.0003841283,0.0002600426,0.0004230723,0.000286493,0.0005397708,0.002676544],"category_scores_gemma":[0.0007261221,0.0003745238,0.0003526285,0.0003108291,0.0002805756,0.0003836744,0.0001921397,0.0005056476,0.0004242846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967188,"about_ca_system_score_gemma":0.0003160742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637986,"about_ca_topic_score_gemma":0.003251468,"domain_scores_codex":[0.999756,0.0000439065,0.00003219801,0.00004703562,0.00006257625,0.00005822272],"domain_scores_gemma":[0.9994851,0.0002106441,0.00009019069,0.00003512982,0.000126303,0.00005256127],"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":[0.002149087,0.0001184786,0.0006926468,0.0001945359,0.00004185471,0.00009396658,0.00007249398,0.000496931,0.9896525,0.00006096332,0.0001191915,0.006307352],"study_design_scores_gemma":[0.00002346183,0.0008178827,0.002828912,0.00000877948,0.00004457215,0.00005382178,0.00003072246,0.0006659903,0.9947788,0.00001758412,0.0007181937,0.0000112704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971676,0.00171004,0.0002681656,0.0000286349,0.00003959436,0.000009428336,0.00008991731,0.00002661085,0.0006599384],"genre_scores_gemma":[0.9974701,0.0004996952,0.0005949643,0.00003112932,0.00001733379,0.000007251811,0.0001152507,0.00002156423,0.001242536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002676544,"threshold_uncertainty_score":0.008953929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145811545719424,"score_gpt":0.2140466287345659,"score_spread":0.2025885132773716,"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."}}