{"id":"W2811048797","doi":"10.3390/met8070503","title":"Examination and Simulation of Silicon Macrosegregation in A356 Wheel Casting","year":2018,"lang":"en","type":"article","venue":"Metals","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"","keywords":"Materials science; Die casting; Buoyancy; Casting; Shrinkage; Silicon; Alloy; Computational fluid dynamics; Mechanics; Metallurgy; Mechanical engineering; Composite material; Engineering","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":[0.0001912635,0.00006746194,0.000102974,0.00008494752,0.00001788578,0.00001372164,0.0000301572,0.00004405229,0.00002075829],"category_scores_gemma":[0.00007754484,0.0000648234,0.000009866146,0.00009673908,0.00004739735,0.0001970046,0.00001440174,0.00003859718,0.000005415782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002929762,"about_ca_system_score_gemma":0.000002925049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001853047,"about_ca_topic_score_gemma":0.00007464612,"domain_scores_codex":[0.9995671,0.00002339725,0.0001790375,0.00008172337,0.0000662705,0.00008246757],"domain_scores_gemma":[0.9997987,0.00003870747,0.00003417293,0.0000695206,0.00004718336,0.0000117151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005710134,0.00000449936,0.002635047,0.0001001197,0.00001272307,2.665255e-7,0.003069261,0.1006787,0.8287233,0.00003243857,0.000007010291,0.06473093],"study_design_scores_gemma":[0.0001692288,0.0000210434,0.0507427,0.00002874118,0.000007817739,0.000001937133,0.00006784793,0.6144274,0.3342394,0.0000703064,0.0001482151,0.00007542714],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958853,0.000339129,0.003038667,0.000004361597,0.00009466786,0.0001017167,0.00000200563,0.00003940156,0.0004947603],"genre_scores_gemma":[0.9990544,0.000004781855,0.0008090792,0.000004922485,0.00005932717,0.000003060635,0.000003396684,0.00001267917,0.00004831601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5137487,"threshold_uncertainty_score":0.2643421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561391779695705,"score_gpt":0.2354533483343741,"score_spread":0.2198394305374171,"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."}}