{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001664392,0.0003498516,0.0004488434,0.0000470356,0.00007845906,0.0000346561,0.000346547,0.0001293509,0.00004633542],"category_scores_gemma":[0.00005773353,0.0002852337,0.0001038734,0.0006077612,0.00009962576,0.000152713,0.00007534359,0.0003313502,0.000001531541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009002192,"about_ca_system_score_gemma":0.00006779779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001180478,"about_ca_topic_score_gemma":5.740877e-7,"domain_scores_codex":[0.9984813,0.00001227359,0.0004670015,0.0002997864,0.0002466103,0.0004930521],"domain_scores_gemma":[0.9990972,0.00006135167,0.000146157,0.0003919538,0.0001521159,0.0001512287],"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":[0.00005637956,0.00003584577,0.0002586703,0.006880486,0.000153115,0.00006494645,0.001072444,0.1367488,0.8543734,0.00006823899,0.0002193281,0.00006829392],"study_design_scores_gemma":[0.0004668834,0.0000991924,0.00005556735,0.0001289233,0.00009372214,0.00002183761,0.004351309,0.01758755,0.9731579,0.000009548758,0.003692512,0.0003350693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964738,0.001651915,0.0004300915,0.0004549713,0.00008827719,0.0002463807,0.000009095556,0.0002448787,0.0004005754],"genre_scores_gemma":[0.9990935,0.0001806101,0.0001884814,0.00002992064,0.00007913567,0.00002198604,0.00003205358,0.00006737289,0.0003069239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1191613,"threshold_uncertainty_score":0.99996,"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."}}