{"id":"W3095959423","doi":"10.1051/matecconf/202032602001","title":"Quench Sensitivity and Phase Transformation Kinetics of AlSi7MnMg High Pressure Vacuum Die Casting","year":2020,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rio Tinto (Canada); Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Isothermal transformation diagram; Alloy; Phase (matter); Nucleation; Thermodynamics; Isothermal process; Precipitation; Kinetics; Transmission electron microscopy; Sensitivity (control systems); Metallurgy; Continuous cooling transformation; Casting; Microstructure; Chemistry; Martensite","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":[0.0001795685,0.0001605778,0.0002715274,0.0003124171,0.0001575316,0.0002494876,0.0002589686,0.0001578308,0.001238284],"category_scores_gemma":[0.0004755865,0.0001727,0.0001468924,0.0002568697,0.0001685129,0.0001317447,0.0001153263,0.0002792013,0.000296349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003504307,"about_ca_system_score_gemma":0.0002081612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002328006,"about_ca_topic_score_gemma":0.004044121,"domain_scores_codex":[0.9997476,0.00001766723,0.00001160255,0.00004060928,0.000140537,0.00004210244],"domain_scores_gemma":[0.9997786,0.00004897109,0.00004609903,0.00002193293,0.00009067242,0.00001370855],"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":[0.00008004218,0.00001226948,0.001127173,0.00005153068,0.000006425105,0.00005945553,0.00007896584,0.0004484514,0.9930897,0.00008945246,0.00005622317,0.004900382],"study_design_scores_gemma":[0.000001513859,0.0001047414,0.00514193,0.000002671151,0.000005474822,0.00003254165,0.00002364116,0.001319484,0.9925464,0.00001175012,0.0008055673,0.000004212819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957806,0.0006419721,0.001926241,0.00001763384,0.00001082376,0.00001222829,0.0001925765,0.00009383987,0.001324138],"genre_scores_gemma":[0.996068,0.0002724465,0.001567676,0.00000609474,0.000002629492,0.000007677561,0.0001598402,0.00002874763,0.001886798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002328006,"threshold_uncertainty_score":0.004628837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749129418970342,"score_gpt":0.2147586410296368,"score_spread":0.1972673468399334,"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."}}