{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001601174,0.0002633299,0.0003584994,0.0003128475,0.0003504282,0.0004667864,0.0004701792,0.000814097,0.001267092],"category_scores_gemma":[0.0003754253,0.0002135232,0.0003439039,0.0002464668,0.0003721231,0.0001747238,0.0002192158,0.000236733,0.000159293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008911501,"about_ca_system_score_gemma":0.001016947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02401859,"about_ca_topic_score_gemma":0.02041976,"domain_scores_codex":[0.99994,0.000006926866,0.000002331502,0.000008160504,0.00002133877,0.0000211092],"domain_scores_gemma":[0.9998417,0.00007359304,0.00002524085,0.00001320012,0.00003088368,0.00001541258],"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":[0.00004162285,0.00004494113,0.002201191,0.0000307733,0.000005058988,0.0001048454,0.00004757905,0.9849411,0.01020716,0.0007682361,0.00008766547,0.001519821],"study_design_scores_gemma":[0.000005605744,0.00002236783,0.0006555587,0.00000270372,0.000001968088,0.000008662571,0.00001375903,0.997165,0.001876664,0.00005753326,0.0001869424,0.000003248867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821033,0.0001014775,0.01194463,0.00005195427,0.00001178946,0.00003702057,0.0002971875,0.0001582755,0.005294241],"genre_scores_gemma":[0.9932987,0.00006819299,0.005101123,0.000009249466,0.000001770283,0.00003160758,0.0001242337,0.00002095977,0.001344239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02401859,"threshold_uncertainty_score":0.04775757,"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."}}