{"id":"W2782214867","doi":"10.1016/j.btre.2017.12.009","title":"Evaluating the effect of enzymatic pretreatment on the anaerobic digestibility of pulp and paper biosludge","year":2018,"lang":"en","type":"article","venue":"Biotechnology Reports","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biogas; Anaerobic digestion; Pulp and paper industry; Chemistry; Anaerobic exercise; Pulp (tooth); Food science; Biotechnology; Waste management; Biology; Methane; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009561749,0.00060328,0.0007829731,0.0003199025,0.0001936409,0.0006839053,0.0002503392,0.0004469459,0.0008826656],"category_scores_gemma":[0.0007902801,0.00017019,0.000607064,0.0004603889,0.0002336437,0.0005609037,0.00031729,0.0005610056,0.0002810492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003035207,"about_ca_system_score_gemma":0.0004788873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168616,"about_ca_topic_score_gemma":0.001774011,"domain_scores_codex":[0.9993344,0.0001412209,0.0000920355,0.0001017516,0.0002308452,0.00009962681],"domain_scores_gemma":[0.9995055,0.0001525455,0.0001175303,0.00005606278,0.0001323311,0.00003601738],"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":[0.0002011981,0.00007375459,0.001016512,0.000167624,0.00001796917,0.00002313106,0.00001289289,0.0001336111,0.994251,0.00001479712,0.00001008293,0.004077412],"study_design_scores_gemma":[0.000002961768,0.0004458693,0.005576447,0.00001083422,0.00002752655,0.00002376003,0.00002496483,0.0002390177,0.9931144,0.00001338314,0.0005155153,0.000005252993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989829,0.003111762,0.005173281,0.00005001734,0.00003868234,0.00011626,0.0004508822,0.00002902486,0.001200965],"genre_scores_gemma":[0.9850062,0.002526163,0.01040129,0.00004282482,0.000008896865,0.00006792384,0.0006578939,0.00002944306,0.001259498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001168616,"threshold_uncertainty_score":0.005056798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636397666614772,"score_gpt":0.2689233984787955,"score_spread":0.2525594218126478,"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."}}