{"id":"W2062232128","doi":"10.1088/0965-0393/11/2/306","title":"Modelling the work-roll temperature variation at unsteady state condition","year":2003,"lang":"en","type":"article","venue":"Modelling and Simulation in Materials Science and Engineering","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Slab; Work (physics); Materials science; Mechanics; Finite element method; Boundary value problem; Heat transfer; Thermal; Heat transfer coefficient; Thermal state; Deformation (meteorology); Field (mathematics); Steady state (chemistry); Reduction (mathematics); Thermodynamics; Structural engineering; Composite material; Mathematical analysis; Mathematics; Geometry; Physics; 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":[0.0002305661,0.000384498,0.0003962347,0.000212573,0.0002350693,0.0006699772,0.0006607846,0.0007260892,0.001226162],"category_scores_gemma":[0.0009491456,0.0003202665,0.0003486282,0.0002035645,0.0005128327,0.0009150085,0.0002602639,0.0004903813,0.0003686395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239654,"about_ca_system_score_gemma":0.0006221232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003516603,"about_ca_topic_score_gemma":0.003149516,"domain_scores_codex":[0.9998525,0.00002597636,0.000007114558,0.00003170403,0.00006319529,0.00001948827],"domain_scores_gemma":[0.9997663,0.0001134401,0.00003470193,0.00003664259,0.00004203133,0.000006833542],"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":[0.00003871897,0.00003002844,0.0007225007,0.00004330946,0.000006224396,0.00004439017,0.00006913062,0.9671805,0.02291549,0.002912803,0.00008511519,0.005951835],"study_design_scores_gemma":[0.000001822649,0.000007980258,0.0001815374,0.000001183812,0.000001496402,0.000006570783,0.000004598012,0.993754,0.00556947,0.0002565966,0.0002111737,0.000003601721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2717634,0.0001429815,0.7233041,0.00008112293,0.00004268352,0.00005264447,0.0001451076,0.0004871876,0.003980736],"genre_scores_gemma":[0.9567958,0.0001516073,0.0392458,0.00001420366,0.000008597309,0.00007744333,0.0001441335,0.00007048041,0.003491991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003516603,"threshold_uncertainty_score":0.00699228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0141543823873264,"score_gpt":0.2073481009661614,"score_spread":0.193193718578835,"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."}}