{"id":"W2907860876","doi":"10.1615/ihtc16.cms.023294","title":"NUMERICAL ASSESSMENT OF INTERFACIAL HEAT TRANSFER COEFFICIENT IN A MG SQUEEZE CASTING WITH VARIOUS SECTION THICKNESS BY POLYNOMINAL EXTRAPOLATION","year":2018,"lang":"en","type":"article","venue":"International Heat Transfer Conference 16","topic":"Aluminum Alloy Microstructure Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Extrapolation; Casting; Heat transfer coefficient; Section (typography); Heat transfer; Materials science; Mechanics; Thermodynamics; Composite material; Computer science; Physics; Mathematics; Mathematical analysis","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":[0.000179059,0.0002755829,0.0002793529,0.0002620124,0.000322039,0.0002663506,0.0004031664,0.000453792,0.001895437],"category_scores_gemma":[0.000567894,0.0001679484,0.0002445532,0.0003572043,0.0003184376,0.000262899,0.0001738278,0.0004109799,0.0001272633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003437785,"about_ca_system_score_gemma":0.0004433383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009389055,"about_ca_topic_score_gemma":0.008069305,"domain_scores_codex":[0.9999485,0.000006567806,0.000002705647,0.000008705163,0.0000220229,0.00001141793],"domain_scores_gemma":[0.999744,0.0001262395,0.0000304283,0.00002535837,0.00006164385,0.00001237402],"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":[0.0004069656,0.0001685169,0.004336981,0.0002871955,0.00002315743,0.0003071041,0.0002324125,0.811009,0.1604756,0.004002433,0.0004887118,0.018262],"study_design_scores_gemma":[0.00001151265,0.00005333577,0.001535377,0.000007798743,0.00000663702,0.00001532639,0.00002247074,0.9800116,0.01803507,0.0001074796,0.000186807,0.000006544824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9637533,0.0001992062,0.02710662,0.00007277065,0.00002950295,0.00002809055,0.0001754553,0.0002813684,0.008353659],"genre_scores_gemma":[0.9921529,0.0000497579,0.006617528,0.000005594306,0.000001959295,0.0000116039,0.00004792967,0.00001718643,0.001095563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009389055,"threshold_uncertainty_score":0.01866877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325707519233807,"score_gpt":0.2444249001210108,"score_spread":0.2311678249286727,"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."}}