{"id":"W4405884524","doi":"10.1016/j.jmrt.2024.12.231","title":"Development of Sr modified Al–Si–Mg–Fe based alloys for automotive components","year":2024,"lang":"en","type":"article","venue":"Journal of Materials Research and Technology","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Université du Québec à Chicoutimi","funders":"","keywords":"Materials science; Automotive industry; Metallurgy; Crystallography; Thermodynamics","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":[0.0009114488,0.000116694,0.000322793,0.0007433548,0.00006003461,0.00005983911,0.0002497633,0.0001555726,0.00003043018],"category_scores_gemma":[0.0001273366,0.0000889066,0.00002813402,0.000199829,0.0002151544,0.00008607389,0.00008725491,0.0002479925,0.000004046546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009228244,"about_ca_system_score_gemma":0.0001379988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002029506,"about_ca_topic_score_gemma":0.000002662236,"domain_scores_codex":[0.9988158,0.00003315607,0.0004859502,0.0001166966,0.0002420786,0.0003063625],"domain_scores_gemma":[0.999296,0.00009236352,0.00005602233,0.0001066591,0.0003943609,0.0000546071],"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":[0.0001283364,0.00001901144,0.000006550023,0.0004400157,0.0001435439,0.00002208985,0.0001700078,0.00004567659,0.9943719,0.0003480628,0.0009520962,0.00335269],"study_design_scores_gemma":[0.0004570415,0.000241941,0.00007871695,0.0002461275,0.000008054512,0.00005606879,0.0001007582,0.0009199367,0.9860014,0.002251019,0.009555207,0.00008368104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945735,0.001493374,0.002484986,0.0007296026,0.0003661286,0.000216806,0.00003022978,0.00007980804,0.00002552379],"genre_scores_gemma":[0.9826754,0.000123996,0.01706831,0.000007565087,0.00004326941,0.00001866597,0.000004356893,0.00002901294,0.00002937474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01458333,"threshold_uncertainty_score":0.3625506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05133812329401569,"score_gpt":0.3075449043836464,"score_spread":0.2562067810896307,"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."}}