{"id":"W3021587337","doi":"10.1016/j.biortech.2020.123477","title":"Penicillium subrubescens adapts its enzyme production to the composition of plant biomass","year":2020,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University; European Commission; Génome Québec; Genome Canada","keywords":"Penicillium; Biomass (ecology); Bran; Food science; Biology; Sugar beet; Sugar; Pectin; Biotechnology; Botany; Horticulture; Agronomy; Raw material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007487261,0.0001237962,0.0001404273,0.0001636935,0.00006153523,0.000006935005,0.0002392778,0.0001703185,0.00002582246],"category_scores_gemma":[0.00002712778,0.00009516082,0.00003861683,0.0006337178,0.00007723882,0.00003058351,0.00007377045,0.0001714051,0.0001549699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003035442,"about_ca_system_score_gemma":0.000006273397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005405156,"about_ca_topic_score_gemma":0.00000262398,"domain_scores_codex":[0.999264,0.00001474641,0.0001860576,0.000232752,0.0001206326,0.0001817828],"domain_scores_gemma":[0.9996086,0.000005058115,0.00003908159,0.0002433147,0.00004916625,0.00005478705],"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":[0.00004350166,0.00002117829,0.000232324,0.0001146658,0.00002170901,0.00000205766,0.0002852787,0.0004156593,0.9764446,0.0001544728,0.02132439,0.0009401684],"study_design_scores_gemma":[0.0001177609,0.000116563,0.0003758115,0.00001450338,0.0000131279,0.00002216845,0.0002035002,0.00221907,0.8095069,0.000007902492,0.1872898,0.0001129073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9226108,0.0008246106,0.0007726108,0.07330712,0.000564334,0.000591984,0.00005123098,0.001150682,0.0001266775],"genre_scores_gemma":[0.9992906,0.00003597436,0.0001985023,0.0001794814,0.000221785,0.00001262816,0.00001818338,0.00001733377,0.0000254782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1669377,"threshold_uncertainty_score":0.3880545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684631389852071,"score_gpt":0.1954870274327881,"score_spread":0.1786407135342674,"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."}}