{"id":"W1978902341","doi":"10.1007/s11665-011-9873-8","title":"Mathematical Modeling of Particle Segregation During Centrifugal Casting of Metal Matrix Composites","year":2011,"lang":"en","type":"article","venue":"Journal of Materials Engineering and Performance","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de Saint-Laurent; École de Technologie Supérieure","funders":"","keywords":"Materials science; Centrifugal casting (silversmithing); Viscosity; Volume fraction; Composite material; Particle (ecology); Casting; Metal matrix composite; Composite number; Particle size; Alloy; Silicon carbide; Metallurgy; Mold","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":[0.0002627759,0.0001179263,0.0003298226,0.00008784523,0.00002179169,0.00001292663,0.00009142097,0.00004205849,0.0000404194],"category_scores_gemma":[0.00002092141,0.0001011357,0.00003914122,0.00006254044,0.00002015029,0.0002866898,0.00002757381,0.0000812779,0.000001988755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001718855,"about_ca_system_score_gemma":0.00000675436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002826599,"about_ca_topic_score_gemma":5.567047e-8,"domain_scores_codex":[0.9990156,0.00001104857,0.0006302057,0.00004979522,0.0001433747,0.0001499239],"domain_scores_gemma":[0.9996326,0.00002192204,0.0001416915,0.00007707664,0.00007969889,0.00004700903],"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":[0.00007251182,0.00001396642,0.0004364495,0.001030531,0.00005366271,0.000002490105,0.0006957858,0.2908376,0.7067457,0.00005466424,2.586947e-7,0.00005640669],"study_design_scores_gemma":[0.0001728304,0.00007586536,0.0007356019,0.0002730133,0.00002860423,0.0001006868,0.00002174105,0.4177516,0.5807716,0.000005554518,4.639776e-7,0.00006236199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964815,0.0005228443,0.002742169,0.000001309185,0.0001396654,0.00004547691,0.00000283948,0.00002791865,0.00003623874],"genre_scores_gemma":[0.9895135,0.00009452269,0.0103123,2.851427e-7,0.00004939348,0.000001075677,3.904151e-7,0.00002107065,0.00000750976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.126914,"threshold_uncertainty_score":0.4124196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723881588206531,"score_gpt":0.1866225632049072,"score_spread":0.1693837473228418,"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."}}