{"id":"W2948027026","doi":"10.3390/ma12111834","title":"Quality Index Charts of Al-Si-Mg Semi Solid Alloys Subjected to Multiple Temperatures Aging Treatments and Different Quenching Media","year":2019,"lang":"en","type":"article","venue":"Materials","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi","keywords":"Materials science; Ultimate tensile strength; Aluminium; Quenching (fluorescence); Ductility (Earth science); Work hardening; Composite material; Precipitation hardening; Metallurgy; Alloy; Microstructure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001618796,0.0002860434,0.0005376511,0.00009524773,0.00004228266,0.00009890884,0.0001374726,0.00009254427,0.000149053],"category_scores_gemma":[0.00007464053,0.0002247142,0.00003449028,0.00005654123,0.00003025432,0.000123984,0.0001089653,0.00007385528,0.00001732734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007788306,"about_ca_system_score_gemma":0.00001085313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002892561,"about_ca_topic_score_gemma":0.0001110819,"domain_scores_codex":[0.9987284,0.00008906077,0.000429872,0.0002698364,0.0001795636,0.0003032894],"domain_scores_gemma":[0.9994256,0.00008754682,0.00007161176,0.0002888289,0.00003807783,0.00008829241],"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":[0.00004289861,0.00001224887,0.03414321,0.000219919,0.00009031841,0.000002290294,0.002889259,0.0001032735,0.9623188,0.000007763736,0.00007919538,0.00009078775],"study_design_scores_gemma":[0.0004932834,0.00002360464,0.1942611,0.0001147582,0.0000122612,0.000005350937,0.0001058656,0.00005324461,0.804632,0.00002327774,0.00006208737,0.0002132102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980955,0.0002160039,0.00002240414,0.00003439294,0.0008511927,0.0004235787,0.0001443653,0.0001705749,0.00004195198],"genre_scores_gemma":[0.9994229,0.00004019682,0.0001899548,0.00007727357,0.00007359807,0.00003884358,0.00004623376,0.00005238945,0.00005859618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1601178,"threshold_uncertainty_score":0.9163577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009251608226661356,"score_gpt":0.2330641718864384,"score_spread":0.2238125636597771,"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."}}