{"id":"W3184881209","doi":"10.1016/j.biortech.2021.125652","title":"Enhanced biogas production from Lantana camara via bioaugmentation of cellulolytic bacteria","year":2021,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Biotechnology and Biological Sciences Research Council; Department of Science and Technology, Ministry of Science and Technology, India; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Bioaugmentation; Cellulase; Lantana camara; Biogas; Biomass (ecology); Food science; Bacteria; Chemistry; Biology; Pulp and paper industry; Biotechnology; Cellulose; Agronomy; Botany; Microorganism; Biochemistry; Ecology","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":[0.000244843,0.0008524209,0.0005658236,0.0007763181,0.0003096859,0.0009280174,0.0005520222,0.0003995716,0.0006882282],"category_scores_gemma":[0.0001777948,0.0001632728,0.0007300113,0.0005572352,0.000216823,0.000589449,0.0005002906,0.0005976461,0.0002133079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000664415,"about_ca_system_score_gemma":0.0004268413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472266,"about_ca_topic_score_gemma":0.007845007,"domain_scores_codex":[0.9998815,0.00001787129,0.000008320175,0.00002498771,0.0000339185,0.00003333715],"domain_scores_gemma":[0.9999529,0.00000703565,0.00001038771,0.000004418655,0.00001369484,0.00001153973],"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":[0.0001882901,0.00006033578,0.00023811,0.000174473,0.00001398607,0.0001540049,0.0000426058,0.0001743381,0.9952435,0.00007707656,0.00001919905,0.003614031],"study_design_scores_gemma":[0.00003424746,0.0007236082,0.0118551,0.00007991827,0.0001721868,0.000194901,0.0002241881,0.001983205,0.9792588,0.00008144465,0.005361168,0.00003130059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994428,0.002315453,0.0007967264,0.00008331751,0.00002932943,0.00002802613,0.0001369582,0.0000388911,0.0021433],"genre_scores_gemma":[0.9929571,0.001354464,0.002878914,0.00003974092,0.000009734844,0.00003539552,0.0003172508,0.00002275446,0.002384567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003472266,"threshold_uncertainty_score":0.006904125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005616271534421586,"score_gpt":0.1892497148508175,"score_spread":0.1836334433163959,"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."}}