{"id":"W3045208229","doi":"10.1021/acssuschemeng.0c02564","title":"Synergism of Recombinant <i>Podospora anserina</i> <i>Pa</i>AA9B with Cellulases Containing AA9s Can Boost the Enzymatic Hydrolysis of Cellulosic Substrates","year":2020,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Six Talent Peaks Project in Jiangsu Province; Natural Science Foundation of Jiangsu Province; State Administration of Foreign Experts Affairs; China Postdoctoral Science Foundation; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Cellulase; Cellulose; Cellulosic ethanol; Pichia pastoris; Hydrolysis; Chemistry; Lignocellulosic biomass; Biochemistry; Enzymatic hydrolysis; Podospora anserina; Carboxymethyl cellulose; Organic chemistry; Recombinant DNA","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":[0.0002091541,0.0006292076,0.0004539458,0.0001829998,0.0001046466,0.0004125118,0.0002521394,0.0003454443,0.000792819],"category_scores_gemma":[0.0001533208,0.0001789561,0.0004900837,0.0002494719,0.0001532131,0.0003049236,0.0004366928,0.0007623938,0.0004201649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002221676,"about_ca_system_score_gemma":0.0001628778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004715387,"about_ca_topic_score_gemma":0.0005979788,"domain_scores_codex":[0.9997298,0.00005114424,0.00003233413,0.000063369,0.00008123869,0.00004212361],"domain_scores_gemma":[0.999907,0.00001473545,0.00002375164,0.00001853157,0.00001331373,0.00002261767],"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":[0.00002541005,0.00001910211,0.00006686452,0.00001506786,0.000004849867,0.000009596584,0.000002749635,0.00002276418,0.9993027,0.00001538509,0.0000119513,0.0005035168],"study_design_scores_gemma":[0.000004502494,0.0001088619,0.001069737,0.000002363524,0.00001428118,0.00006220832,0.000007918145,0.0005736614,0.996964,0.00001326518,0.001176071,0.000003107445],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989239,0.001121326,0.007152974,0.0001439915,0.00005827337,0.00005319075,0.0003494672,0.0001795255,0.001702284],"genre_scores_gemma":[0.990558,0.000458076,0.006060324,0.00006597505,0.00001171323,0.00003893676,0.0007422492,0.00003794588,0.002026775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000792819,"threshold_uncertainty_score":0.002652287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004901193573861931,"score_gpt":0.1485573568775865,"score_spread":0.1436561633037246,"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."}}