{"id":"W2500447093","doi":"","title":"Scrubbing NCG with white liquor to remove reduced sulfur gases","year":2006,"lang":"en","type":"article","venue":"TSpace","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Humanities; Sulfur; Flue-gas desulfurization; Art; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009974448,0.0003474678,0.0002673158,0.0006752107,0.0003438665,0.0002819015,0.0002859227,0.0002066736,0.008407219],"category_scores_gemma":[0.0001969806,0.0001336571,0.0002417433,0.0005895559,0.0001788609,0.0002617847,0.0001898667,0.0004553982,0.002429285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004044325,"about_ca_system_score_gemma":0.0006279016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01703513,"about_ca_topic_score_gemma":0.0575472,"domain_scores_codex":[0.9998758,0.000003679461,0.000004506558,0.00001738413,0.00006776035,0.00003093895],"domain_scores_gemma":[0.9999056,0.00001407912,0.00001060199,0.00001505999,0.0000426859,0.00001197374],"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":[0.00004253985,0.00001676022,0.0002162836,0.00006980258,0.000005496024,0.0001179398,0.00004700288,0.0001914176,0.9863176,0.00009930431,0.001168235,0.01170753],"study_design_scores_gemma":[0.000004558489,0.00007260984,0.002319437,0.00001416043,0.000006734755,0.00007254982,0.00006281958,0.000862019,0.9863833,0.0000538513,0.01014158,0.000006336052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9248121,0.002974662,0.0190312,0.0006189735,0.0004466802,0.0002760194,0.001683244,0.001091621,0.04906543],"genre_scores_gemma":[0.8340579,0.002803375,0.02905981,0.000536954,0.0000373841,0.0001094178,0.003217631,0.0004350506,0.1297424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01703513,"threshold_uncertainty_score":0.03387195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268140437015315,"score_gpt":0.2460796805758945,"score_spread":0.2333982762057413,"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."}}