{"id":"W2338336771","doi":"10.1007/978-3-319-48251-4_78","title":"Development, Proof of Concept and Industrial Pilot of the New CHAC Scrubbing Technology: An Innovative and Efficient Way to Scrub Sulfur Dioxide","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rio Tinto (Canada)","funders":"","keywords":"Data scrubbing; Waste management; Raw material; Lime; Sulfur dioxide; Engineering; Process engineering; Environmental science; Process (computing); Computer science; Chemistry; Metallurgy; Materials science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002662193,0.0003903669,0.000643966,0.0004141717,0.00005699054,0.00001400462,0.0003033298,0.000605632,0.0001231445],"category_scores_gemma":[0.0001772074,0.0002556588,0.00003014315,0.0002148971,0.0002267446,0.00004891266,0.0002776433,0.0005189885,0.000001646334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046581,"about_ca_system_score_gemma":0.0002676351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001111822,"about_ca_topic_score_gemma":0.00001141833,"domain_scores_codex":[0.9983448,0.00001487399,0.0007148616,0.000356493,0.0002853144,0.000283687],"domain_scores_gemma":[0.9989355,0.00007386441,0.000254588,0.000378764,0.000215539,0.0001417239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000290308,0.00004610409,0.00009202005,0.00007726467,0.0005950662,0.000005268921,0.002106972,0.000406331,0.09113978,0.1357089,0.002501984,0.7670301],"study_design_scores_gemma":[0.006231768,0.0006893557,0.0001097964,0.003218206,0.0001000006,0.00001598762,0.0002628929,0.0001045893,0.8720442,0.0007911596,0.1152809,0.001151173],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4210875,0.002443856,0.0223215,0.003889706,0.004623476,0.01594117,0.0004468031,0.001239613,0.5280064],"genre_scores_gemma":[0.8771321,0.00000752076,0.002333703,0.00007260698,0.0005262348,0.00004357384,0.000006136522,0.000169434,0.1197087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7809044,"threshold_uncertainty_score":0.9999896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03749584420083826,"score_gpt":0.2278124348441447,"score_spread":0.1903165906433065,"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."}}