{"id":"W4415930549","doi":"10.1016/j.aspen.2025.102503","title":"Optimizing housefly larval bioconversion of silkworm excrement through wheat bran Supplementation: Enhanced cellulose degradation and nutrient recovery","year":2025,"lang":"en","type":"article","venue":"Journal of Asia-Pacific Entomology","topic":"Insect Utilization and Effects","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Ministry of Agriculture and Rural Affairs of the People's Republic of China; National Natural Science Foundation of China; Jiangsu Agricultural Science and Technology Innovation Fund","keywords":"Housefly; Bioconversion; Bran; Cellulose; Biomass (ecology); Nutrient; Substrate (aquarium); Reducing sugar","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":[0.00008815576,0.0003638708,0.0001820839,0.0001542374,0.00008480838,0.0003165808,0.00013782,0.0001647509,0.0008163179],"category_scores_gemma":[0.00008624062,0.00008062701,0.0001771717,0.0001270757,0.00008981978,0.0001592698,0.0001306125,0.0002295054,0.00009299204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721352,"about_ca_system_score_gemma":0.0002020622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001745699,"about_ca_topic_score_gemma":0.004931076,"domain_scores_codex":[0.9999397,0.000007644661,0.000005948367,0.00001606753,0.00001433015,0.00001635894],"domain_scores_gemma":[0.9999591,0.000004446625,0.00001351869,0.000002466145,0.000008846754,0.00001169527],"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":[0.0002560153,0.00007282921,0.0002650402,0.00004305673,0.000006882556,0.00002128469,0.000006034205,0.00006634123,0.9972915,0.00001614882,0.00001312978,0.001941747],"study_design_scores_gemma":[0.00001989109,0.000785839,0.008149732,0.000009368156,0.00004340827,0.00003979251,0.00003596027,0.0006945927,0.9895931,0.00001140777,0.0006124236,0.000004358804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986978,0.0003912969,0.0004445385,0.00001697578,0.000009561695,0.000008976405,0.00005627675,0.00001235079,0.0003622485],"genre_scores_gemma":[0.9974985,0.000402177,0.0009587634,0.0000206509,0.00000233207,0.000007136699,0.00007134913,0.000004944173,0.001034192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001745699,"threshold_uncertainty_score":0.003471076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469727727667285,"score_gpt":0.247524716593994,"score_spread":0.2328274393173212,"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."}}