{"id":"W2519442107","doi":"10.1007/s40962-016-0080-0","title":"Thermal Analysis for Detection of Zr-Rich Phases in Al–Si–Cu–Mg 354-Type Alloys","year":2016,"lang":"en","type":"article","venue":"International Journal of Metalcasting","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Materials science; Intermetallic; Zirconium; Precipitation; Alloy; Phase (matter); Aluminium; Metallurgy; Silicon; Thermal analysis; Zirconium alloy; Atmospheric temperature range; Thermal; Thermodynamics; Chemistry","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":[0.0004253701,0.0001238373,0.0002827155,0.0005781938,0.00001754813,0.00002478668,0.0002787807,0.00004652766,0.00006807214],"category_scores_gemma":[0.0004735861,0.00008598342,0.0001979295,0.0002500498,0.00003481498,0.0003335941,0.00003019698,0.0001063172,0.000001668238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306835,"about_ca_system_score_gemma":0.00002595429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001439458,"about_ca_topic_score_gemma":0.00003914202,"domain_scores_codex":[0.9987739,0.00002895263,0.0006368897,0.00009536906,0.0003173869,0.0001475509],"domain_scores_gemma":[0.998832,0.0002270317,0.0002978763,0.00007399793,0.0005350601,0.00003405836],"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":[0.0001421428,0.00001695314,0.005951987,0.000009463843,0.001253974,0.0000104878,0.0001841251,0.02186201,0.9426917,0.000008715185,0.00001310189,0.02785529],"study_design_scores_gemma":[0.001728847,0.0001771363,0.01405626,0.0002024178,0.0003971371,0.0001191497,0.0001463938,0.02424118,0.9574746,0.000138114,0.001087347,0.000231345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540512,0.0005040271,0.04432153,0.00009221012,0.0008535496,0.00005611377,0.00001129235,0.00001592773,0.00009417823],"genre_scores_gemma":[0.9966893,0.00004045762,0.002957488,0.0000226619,0.0002207569,0.000002247818,0.000001540161,0.00002087199,0.00004469497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04263811,"threshold_uncertainty_score":0.3506302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190767688507455,"score_gpt":0.2616193016185563,"score_spread":0.2397116247334817,"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."}}