{"id":"W4255947504","doi":"10.1007/978-3-642-20617-7_100548","title":"Clean Production","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Science and Technology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Production (economics); Environmental science; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002368352,0.0009409878,0.0003909037,0.001119979,0.001275069,0.002045468,0.0008477467,0.001066955,0.1070688],"category_scores_gemma":[0.0003477636,0.0003048893,0.0004610412,0.001015467,0.0008600656,0.001951687,0.001965412,0.001855439,0.04671262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119335,"about_ca_system_score_gemma":0.00124232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002471774,"about_ca_topic_score_gemma":0.006486923,"domain_scores_codex":[0.9996336,0.00002324001,0.000006705383,0.00006812332,0.0002288917,0.00003949607],"domain_scores_gemma":[0.9999156,0.00001234223,0.000004977422,0.00002494951,0.00003146214,0.00001058567],"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":[0.00003788872,0.0000803812,0.0001684211,0.0003933082,0.0000131904,0.0001405075,0.0002174446,0.0006588169,0.007578968,0.2209551,0.3548186,0.4149375],"study_design_scores_gemma":[0.000001289656,0.000008100024,0.0001288069,0.00004740217,0.000001605604,0.00005068675,0.00003848191,0.0000972956,0.001592248,0.01124429,0.9867852,0.000004550545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000937941,0.004731833,0.0127629,0.001769714,0.001345709,0.0000562628,0.0003276253,0.0004968535,0.977571],"genre_scores_gemma":[0.007834701,0.004717122,0.004278607,0.0008228235,0.000226747,0.00004477081,0.0003687353,0.0001853472,0.9815211],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1070688,"threshold_uncertainty_score":0.3581806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00578974257569946,"score_gpt":0.1923961299886178,"score_spread":0.1866063874129184,"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."}}