{"id":"W4309680596","doi":"10.1007/s10853-022-07960-9","title":"Effect of chemical composition on the semisolid tensile properties and hot tearing susceptibility of AA6111 DC cast alloys","year":2022,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rio Tinto (Canada); Université Laval; Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Materials science; Ultimate tensile strength; Alloy; Solidus; Tearing; Tensile testing; Microstructure; Ductility (Earth science); Brittleness; Strain rate; Metallurgy; Composite material; Isothermal process; Creep; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001576493,0.0001929665,0.0002131802,0.0003519328,0.0003396361,0.0004296557,0.0001899127,0.0002057791,0.002391278],"category_scores_gemma":[0.0006763545,0.0002249663,0.0001049869,0.000351782,0.0002613094,0.0002117618,0.0001471917,0.0003286795,0.0002824889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002721702,"about_ca_system_score_gemma":0.0003791445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002942449,"about_ca_topic_score_gemma":0.006192564,"domain_scores_codex":[0.9998242,0.00001993998,0.00001595439,0.00002651699,0.00007227235,0.00004113221],"domain_scores_gemma":[0.9994488,0.0001569701,0.00008767437,0.0000446328,0.0001871619,0.0000747089],"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":[0.0006138096,0.00003366862,0.001011668,0.00006278481,0.000009353113,0.00008584923,0.00004813856,0.0002130397,0.996018,0.00006967835,0.00004623889,0.001787686],"study_design_scores_gemma":[0.000005668489,0.0001356263,0.0050314,0.000004062306,0.00001447653,0.0000333568,0.00004927502,0.0005434658,0.9937441,0.000008826104,0.000423943,0.000005762864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982675,0.0003701268,0.0001511263,0.00001986472,0.00001445637,0.000005479313,0.0001278051,0.00001331652,0.00103028],"genre_scores_gemma":[0.9986077,0.0001519176,0.000160494,0.00001101988,0.000003536507,0.000003004722,0.00007747042,0.00001520192,0.0009695622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002942449,"threshold_uncertainty_score":0.007999599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284812464604456,"score_gpt":0.2079102092497996,"score_spread":0.1950620846037551,"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."}}