{"id":"W1588036294","doi":"10.1002/9780470168219.ch4","title":"WASTE REDUCTION FOR CHEMICAL PLANT OPERATIONS","year":2007,"lang":"en","type":"other","venue":"","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reduction (mathematics); Waste management; Environmental science; Engineering; Mathematics","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":[0.00002295699,0.00009707022,0.00007593273,0.00001186693,0.00001349414,0.000006501025,0.00007913845,0.0001647863,0.01380957],"category_scores_gemma":[0.000006968459,0.0000884117,0.00003803008,0.00004469517,0.0000330915,0.00001365337,0.00003183944,0.00007296854,0.0001295462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005474528,"about_ca_system_score_gemma":0.000002025897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003103395,"about_ca_topic_score_gemma":0.000004975789,"domain_scores_codex":[0.9995486,5.819098e-7,0.00007715386,0.0001735334,0.00007559433,0.0001245841],"domain_scores_gemma":[0.9998196,0.000005429611,0.00001171689,0.0001077896,8.17214e-7,0.00005464841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002305084,0.00001485532,4.038911e-7,0.00001762402,0.000005105112,3.158354e-7,0.00000569679,0.0002648198,0.3845868,0.00005692651,0.6146784,0.0003667926],"study_design_scores_gemma":[0.00008182337,0.000002462881,5.72045e-8,0.00001955056,0.000006188028,0.000007749297,0.00000975788,0.001022491,0.4256359,0.000007526162,0.5730843,0.0001222543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004315922,0.00001497402,0.006193954,0.00003269078,0.00008963644,0.000199923,0.000034643,0.0001311932,0.9928714],"genre_scores_gemma":[0.001815293,0.000006963226,0.008290435,0.000027327,0.0005289399,0.00005240483,0.000208096,0.0001040189,0.9889665],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04159413,"threshold_uncertainty_score":0.987092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006033046793845386,"score_gpt":0.2019947512115378,"score_spread":0.1959617044176925,"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."}}