{"id":"W2048922560","doi":"10.1016/j.applthermaleng.2011.02.016","title":"Heat recovery from a cement plant with a Marnoch Heat Engine","year":2011,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Hydrogen Storage and Materials","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Cement; Waste management; Waste heat recovery unit; Heat engine; Environmental science; Heat recovery ventilation; Mechanical engineering; Materials science; Process engineering; Engineering; Metallurgy; Heat exchanger","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001736584,0.0002555098,0.000289998,0.00005734822,0.00005208327,0.00004757151,0.0002168791,0.0000776585,0.00206194],"category_scores_gemma":[0.000003653282,0.0002051943,0.00003636794,0.00007638822,0.0000191466,0.0001213282,0.00008233057,0.00008593361,0.0003302254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005060052,"about_ca_system_score_gemma":0.0000211444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004157216,"about_ca_topic_score_gemma":0.000006673554,"domain_scores_codex":[0.9987995,0.00001263359,0.0002364493,0.0003349707,0.0001957805,0.0004206444],"domain_scores_gemma":[0.999474,0.00003135643,0.00001862446,0.0003362411,0.00001271966,0.0001269856],"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":[0.0001967882,0.0000362571,0.000005611284,0.00002155275,0.00003800126,0.0000565422,0.0005269399,0.006426406,0.9921327,0.0002728874,0.00002453469,0.0002617462],"study_design_scores_gemma":[0.0004893852,0.00008363134,0.0001434157,0.00004269671,0.00003273187,0.00001436562,0.00003477971,0.0006346512,0.9966825,0.00002733024,0.001492959,0.0003215994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913661,0.00009577088,0.005591446,0.000007699171,0.0003987145,0.0002586711,0.00008010255,0.0002709965,0.001930497],"genre_scores_gemma":[0.9925944,0.000009953754,0.006853577,0.00008612105,0.0002047934,0.0001282962,0.00003534699,0.00005587014,0.00003165636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005791754,"threshold_uncertainty_score":0.9988503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011366244938965,"score_gpt":0.1609486051722081,"score_spread":0.1495823602332431,"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."}}