{"id":"W4392386363","doi":"10.1007/s13399-024-05445-0","title":"Study of biopolymers and silica recovery from pre-hydrolyzed rice husks","year":2024,"lang":"en","type":"article","venue":"Biomass Conversion and Biorefinery","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de Technologie Agroalimentaire; Université Laval; Kruger (Canada)","funders":"","keywords":"Husk; Hydrolysis; Chemistry; Pulp and paper industry; Chemical engineering; Waste management; Organic chemistry; Engineering; Botany; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001399341,0.0001939563,0.0002381391,0.00003773937,0.0001020459,0.00008076242,0.0001340028,0.0001683151,0.0001289908],"category_scores_gemma":[0.00002429434,0.00006861221,0.00006947104,0.0004244951,0.0001161276,0.0001269498,0.000154003,0.00009702269,0.00001055498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001403757,"about_ca_system_score_gemma":0.000006020477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00185605,"about_ca_topic_score_gemma":0.0001466639,"domain_scores_codex":[0.9988313,0.00009646294,0.0002147631,0.0004844655,0.0001980244,0.0001749541],"domain_scores_gemma":[0.9993001,0.0004262532,0.00006494085,0.00007074513,0.00002383953,0.0001141765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00009278514,0.0001399753,0.00886789,0.00003382415,0.0000689253,0.000020208,0.0002002847,5.838419e-8,0.9588675,0.00001045695,0.001294806,0.03040321],"study_design_scores_gemma":[0.001373449,0.003143314,0.7852957,0.000165841,0.000286138,0.00003358331,0.005061754,0.0003982491,0.1851158,0.00009862841,0.01822797,0.0007996006],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953291,0.003072811,2.380054e-7,0.0005787233,0.0003447991,0.0002719055,0.0001006543,0.0001135359,0.0001881928],"genre_scores_gemma":[0.9992644,0.0002191552,0.00001024674,0.00009557955,0.0001273716,0.000008961749,0.00005077209,0.000001537806,0.0002220373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7764278,"threshold_uncertainty_score":0.2805805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113441218083315,"score_gpt":0.217658134694902,"score_spread":0.2063140128865705,"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."}}