{"id":"W2908595752","doi":"10.4095/261724","title":"Post-combustion capture - amine scrubbing / clean coal","year":2009,"lang":"en","type":"report","venue":"","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data scrubbing; Clean coal; Coal; Clean-up; Waste management; Combustion; Amine gas treating; Environmental science; Coal combustion products; Chemistry; Process engineering; Engineering; Environmental engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001291404,0.0002720798,0.0002842585,0.0001204824,0.00005343141,0.00006219595,0.0001082978,0.0003750359,0.0003461033],"category_scores_gemma":[0.00004335056,0.0002346939,0.0001010383,0.00009176418,0.00001223722,0.00009723589,0.0000266503,0.0003655246,0.00004908343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660866,"about_ca_system_score_gemma":0.00007959347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006138668,"about_ca_topic_score_gemma":0.0004705034,"domain_scores_codex":[0.9988396,0.000009065467,0.0003133339,0.0002078332,0.0003925118,0.0002377068],"domain_scores_gemma":[0.9994122,0.000008364785,0.00004766637,0.000239893,0.000225159,0.000066676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003236752,0.00006246706,0.0001711508,0.001331974,0.0001782448,0.00006445593,0.0002398387,0.09376596,0.001959046,0.0001061279,0.3785759,0.5235125],"study_design_scores_gemma":[0.0005175004,0.0002121828,0.004800253,0.0008682333,0.0002553062,0.000200049,0.0004753253,0.08803734,0.002158467,0.00006182909,0.9006976,0.001715903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01569817,0.008546435,0.02129164,0.0002654847,0.00540084,0.000829462,0.00008656851,0.002882508,0.9449989],"genre_scores_gemma":[0.9556118,0.002390818,0.0001843473,0.0001320215,0.0009374082,0.000006257061,0.0009345112,0.0001116098,0.03969119],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9399137,"threshold_uncertainty_score":0.957054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006197483376924,"score_gpt":0.2285401581996291,"score_spread":0.2084781833658599,"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."}}