{"id":"W117276895","doi":"10.1007/978-3-642-36273-6_6","title":"Preheating of Scrap by Offgases in Combination with Burners","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ford Motor Company (Canada)","funders":"","keywords":"Scrap; Materials science; Environmental science; Waste management; Metallurgy; 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":[0.0002012151,0.0005924716,0.0008405293,0.0003366383,0.000561873,0.0008018207,0.0006765124,0.0003455441,0.007126572],"category_scores_gemma":[0.0002397168,0.0003366078,0.0005068523,0.0003487276,0.0003452188,0.001194264,0.0005837432,0.001165367,0.001067135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003314385,"about_ca_system_score_gemma":0.0002900607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007534932,"about_ca_topic_score_gemma":0.001672627,"domain_scores_codex":[0.9997726,0.00001964531,0.000005015298,0.00003723168,0.0001268875,0.00003861397],"domain_scores_gemma":[0.9999064,0.00004023538,0.000005488392,0.00002183054,0.00002048832,0.000005521051],"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":[0.0003552148,0.0002323033,0.0005874591,0.001359918,0.00003478276,0.0003991593,0.0004865124,0.00830589,0.7387116,0.01385503,0.003630513,0.2320415],"study_design_scores_gemma":[0.000009030019,0.0003224793,0.00199973,0.00008906608,0.00002408136,0.0003977567,0.0001584223,0.006228896,0.9437412,0.003091999,0.04391471,0.00002265449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5718328,0.04097679,0.1378269,0.0003882337,0.001355522,0.0002777287,0.0004266659,0.0009303308,0.245985],"genre_scores_gemma":[0.7903652,0.01076906,0.03010813,0.0001559708,0.0001448173,0.0001053265,0.0004074259,0.0007099196,0.1672343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007126572,"threshold_uncertainty_score":0.02384073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009389364915909951,"score_gpt":0.1864238240436802,"score_spread":0.1770344591277702,"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."}}