{"id":"W2357722157","doi":"","title":"Heat flux calculation in high speed casting of stainless steel","year":2000,"lang":"en","type":"article","venue":"Journal of Baotou University of Iron and Steel Technology","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Thermocouple; Casting; Metallurgy; Materials science; Heat flux; Continuous casting; Heat transfer; Austenite; Thermal; Martensitic stainless steel; Flux (metallurgy); Martensite; Composite material; Microstructure; Mechanics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003148309,0.0003488129,0.000462274,0.0006361079,0.0003300951,0.0005019284,0.0004138012,0.0006114551,0.001068763],"category_scores_gemma":[0.0008419593,0.0002835847,0.0003958228,0.0003681035,0.0002683401,0.0003365765,0.0001477526,0.0002780402,0.0002894646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006988822,"about_ca_system_score_gemma":0.0006492696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007274194,"about_ca_topic_score_gemma":0.005187768,"domain_scores_codex":[0.999841,0.00001845119,0.000004819876,0.0000208478,0.00009755931,0.0000172824],"domain_scores_gemma":[0.9997678,0.00008625672,0.00002462122,0.0000180944,0.00009168375,0.00001144168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002344303,0.00009635821,0.00479702,0.0002750013,0.00001931715,0.000285653,0.0001363308,0.728827,0.1959778,0.006354638,0.0007321037,0.06226426],"study_design_scores_gemma":[0.00001621323,0.00007955986,0.002793396,0.000007948611,0.000005943947,0.00005500506,0.00001904034,0.9602017,0.03524753,0.0005364607,0.001024879,0.00001242707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5957561,0.0003865451,0.3955502,0.00006337,0.00005196127,0.00007917014,0.0001651527,0.001007584,0.006939983],"genre_scores_gemma":[0.9570753,0.0001386688,0.03994709,0.000005929704,0.000007697222,0.00002799094,0.00008768304,0.00007295654,0.00263684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007274194,"threshold_uncertainty_score":0.01446366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005102647137595933,"score_gpt":0.1754117394457344,"score_spread":0.1703090923081385,"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."}}