{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000043828,0.0001564181,0.0001689023,0.00009544843,0.00003276944,0.00003947019,0.00022479,0.0001491111,0.002739507],"category_scores_gemma":[0.000009035673,0.000150135,0.00004257766,0.0001273004,0.00002085812,0.0001320266,0.00006151266,0.00008076751,0.00007681353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005600035,"about_ca_system_score_gemma":0.00001355629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003665865,"about_ca_topic_score_gemma":0.0003937509,"domain_scores_codex":[0.9991812,0.00003824488,0.0001367997,0.0001889093,0.0001528026,0.0003020955],"domain_scores_gemma":[0.9995036,0.00002941417,0.00001331357,0.0003233209,0.00002517439,0.0001051813],"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":[0.00005191644,0.00003745481,0.00001355201,0.00001334233,0.0001199657,0.0001170628,0.0002240045,0.0002843942,0.9589362,0.004355079,0.02353325,0.01231386],"study_design_scores_gemma":[0.000226644,0.00003381386,0.0002384949,0.00001810583,0.000005764687,0.000003114299,0.00001509713,0.0003166649,0.9502038,0.004085578,0.04462785,0.0002250328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655316,0.001238694,0.0008748312,0.00003019598,0.002165684,0.00002779665,0.0001599654,0.0005488031,0.02942236],"genre_scores_gemma":[0.9963833,0.0004849203,0.000482345,0.0001331012,0.000686557,0.00003664254,0.0001391653,0.00006332756,0.001590636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03085163,"threshold_uncertainty_score":0.9981721,"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."}}