{"id":"W1993551058","doi":"10.1088/0965-0393/10/1/301","title":"Numerical simulation of squeeze cast magnesium alloy AZ91D","year":2001,"lang":"en","type":"article","venue":"Modelling and Simulation in Materials Science and Engineering","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Materials science; Magnesium alloy; Cooling curve; Die casting; Casting; Alloy; Magnesium; Die (integrated circuit); Heat transfer; Enthalpy; Metallurgy; Thermodynamics; Mechanics; Control volume; Computation; Phase (matter); Physics; Mathematics","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":[0.000704621,0.0001199152,0.0001836719,0.0001506443,0.0001373622,0.0001337186,0.0001120406,0.00005035467,0.00006619297],"category_scores_gemma":[0.00005503434,0.0001091663,0.0000107107,0.0003032984,0.0001057626,0.0004019315,0.00004687964,0.00003936333,0.000004196871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002580996,"about_ca_system_score_gemma":0.00002472931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002014865,"about_ca_topic_score_gemma":0.000001337399,"domain_scores_codex":[0.9988426,0.00001649837,0.0003496695,0.0002963959,0.000249619,0.0002452051],"domain_scores_gemma":[0.9995289,0.00007241253,0.00006988421,0.0001416723,0.0001150432,0.00007210213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001191702,0.00000868429,0.0001253544,0.00003719463,2.050367e-7,4.759846e-7,0.0001758036,0.635831,0.3635292,0.0001776905,1.427988e-7,0.0001023245],"study_design_scores_gemma":[0.0001565508,0.00002583116,0.0007869375,0.0000227924,0.000004279829,0.000002806788,0.00003652575,0.9694782,0.02914974,0.0001033086,0.0001042778,0.0001286764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100374,0.00005666417,0.08950331,0.00005296972,0.0001188207,0.0001334466,0.00000333375,0.00003961345,0.0000544658],"genre_scores_gemma":[0.9972625,0.00002642138,0.002591513,0.0000170967,0.00005431473,0.00001321572,0.000001799987,0.00001044777,0.00002263626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3343794,"threshold_uncertainty_score":0.4451671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367747712580452,"score_gpt":0.2446569240628535,"score_spread":0.220979446937049,"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."}}