{"id":"W2034860872","doi":"10.1016/j.energy.2011.07.007","title":"Energy recovery from high temperature slags","year":2011,"lang":"en","type":"article","venue":"Energy","topic":"Phase Change Materials Research","field":"Engineering","cited_by":310,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Government of Ontario","keywords":"Waste heat recovery unit; Waste heat; Process engineering; Thermoelectric effect; Slag (welding); Electricity generation; Energy transformation; Heat recovery ventilation; Waste management; Energy recovery; Chemical energy; Thermal energy; Thermoelectric generator; Thermoelectric materials; Materials science; Environmental science; Yield (engineering); Nuclear engineering; Metallurgy; Energy (signal processing); Power (physics); Mechanical engineering; Thermodynamics; Engineering; Heat exchanger","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001263883,0.0002175809,0.0003282752,0.0003496805,0.0004077571,0.0003416976,0.000228618,0.0002618818,0.002635834],"category_scores_gemma":[0.0001733723,0.0001143394,0.0002364605,0.0004190165,0.0004071495,0.0005985783,0.0004519415,0.0004504822,0.0002987712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002949807,"about_ca_system_score_gemma":0.0002168364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025874,"about_ca_topic_score_gemma":0.001889837,"domain_scores_codex":[0.9999058,0.000005102259,0.000002827178,0.00001102289,0.00003280868,0.00004238945],"domain_scores_gemma":[0.9999617,0.000007892604,0.000005222821,0.00001120326,0.000009805264,0.000004159221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004374844,0.00006230393,0.0007360072,0.000233966,0.00002077575,0.0002377994,0.0001218081,0.00945513,0.9647706,0.004305555,0.0008867051,0.01873187],"study_design_scores_gemma":[0.00002630184,0.0001383294,0.002039864,0.00001908972,0.000008325346,0.000109233,0.0001677471,0.01007861,0.9796295,0.002230439,0.005542039,0.00001054876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822299,0.001196097,0.009507427,0.0002369366,0.0001002526,0.00001514945,0.0001679216,0.0001749638,0.006371332],"genre_scores_gemma":[0.997159,0.0001228348,0.0007043355,0.00001628101,0.000003410242,0.000002905662,0.00006995217,0.00002510301,0.001896068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002635834,"threshold_uncertainty_score":0.008817732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295903842214944,"score_gpt":0.2051937566775015,"score_spread":0.182234718255352,"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."}}