{"id":"W4412573404","doi":"10.1002/bbb.2803","title":"Innovative strategies for integrating lignocellulosic biomass and microalgae to produce sustainable bioethanol","year":2025,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mountain Equipment Co-op (Canada); Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biofuel; Biomass (ecology); Lignocellulosic biomass; Bioenergy; Environmental science; Aviation biofuel; Biorefinery; Biochemical engineering; Pulp and paper industry; Business; Biotechnology; Agronomy; Engineering; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004382978,0.0003421142,0.0002973106,0.0005042874,0.0003084754,0.0003080442,0.0001406833,0.000177096,0.000004645115],"category_scores_gemma":[0.0001242237,0.000284735,0.00003207096,0.001334837,0.000177501,0.0002926383,0.000150791,0.0001682605,0.000004192698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000563007,"about_ca_system_score_gemma":0.00008548558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007842737,"about_ca_topic_score_gemma":0.000005293604,"domain_scores_codex":[0.9982927,0.00001901262,0.0003442757,0.000736009,0.00009351954,0.0005145019],"domain_scores_gemma":[0.9991998,0.00003185014,0.00005762426,0.0002697636,0.0003455432,0.00009542448],"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":[0.00005976827,0.00003041522,0.001004266,0.00188207,0.00007187929,0.000002591406,0.000814377,0.000001811507,0.9476884,0.007007701,0.002660821,0.03877591],"study_design_scores_gemma":[0.0005648709,0.000243127,0.001172939,0.0001920308,0.0000327377,0.000008751343,0.008072163,0.0002131115,0.9018924,0.001508077,0.08556136,0.0005384251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850308,0.005334562,0.001582105,0.004339868,0.0007937977,0.001126837,0.0000377535,0.0004343032,0.00131992],"genre_scores_gemma":[0.9902524,0.0001730691,0.007529302,0.0002722526,0.0002313914,0.00006560767,0.00002841201,0.00003283828,0.001414737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08290055,"threshold_uncertainty_score":0.9999605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01171204287435096,"score_gpt":0.2384663962638372,"score_spread":0.2267543533894862,"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."}}