{"id":"W2798332358","doi":"10.1007/978-3-642-40872-4_2114-1","title":"Biorefinery with Membrane Operations","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Biorefinery; Engineering; Waste management","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":[0.0002717483,0.001399252,0.0008058839,0.0008328651,0.0006587706,0.002063619,0.0009213889,0.001438809,0.01519215],"category_scores_gemma":[0.0002798663,0.0004830203,0.0006760993,0.001640306,0.001241742,0.003239724,0.001403182,0.002152395,0.009170276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001420202,"about_ca_system_score_gemma":0.0007937268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072394,"about_ca_topic_score_gemma":0.001999773,"domain_scores_codex":[0.9996936,0.00004151816,0.00001073922,0.00005667656,0.0001745671,0.00002287129],"domain_scores_gemma":[0.9999502,0.00001966882,0.00000294328,0.00001044038,0.00001336568,0.000003386528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002428705,0.0001018365,0.00005689852,0.0006890137,0.00001813333,0.0001197009,0.0001442261,0.008131552,0.008147243,0.4771101,0.06641605,0.439041],"study_design_scores_gemma":[0.000003412016,0.00002422856,0.0001494434,0.0002153886,0.000008851825,0.0002201686,0.00004951548,0.004318965,0.006154437,0.2057212,0.7831168,0.00001755678],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002503503,0.06198858,0.166134,0.002421007,0.002117197,0.00008929415,0.000155965,0.0004571028,0.7641334],"genre_scores_gemma":[0.02574834,0.05230738,0.07029184,0.001363392,0.001028156,0.0001537101,0.0002921257,0.0004607108,0.8483543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01519215,"threshold_uncertainty_score":0.05082279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007409526738586326,"score_gpt":0.1729391391976824,"score_spread":0.1655296124590961,"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."}}