{"id":"W2026973132","doi":"10.5539/jfr.v3n4p60","title":"Bioethanol Production From Pineapple Wastes","year":2014,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Università degli Studi di Messina","keywords":"Cellulosic ethanol; Fermentation; Xylose; Hydrolysis; Ethanol fuel; Chemistry; Biofuel; Biomass (ecology); Cellulose; Ethanol fermentation; Food science; Raw material; Pulp and paper industry; Arabinose; Agronomy; Biotechnology; Biochemistry; Biology; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001085146,0.0005231016,0.0002745753,0.000284936,0.0001240594,0.000451138,0.0001682097,0.000158717,0.000578208],"category_scores_gemma":[0.00007448885,0.0001015092,0.0002901011,0.0004846398,0.00008975762,0.0002851243,0.0002112404,0.0003101169,0.0002712193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851318,"about_ca_system_score_gemma":0.0001469609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001285563,"about_ca_topic_score_gemma":0.001959404,"domain_scores_codex":[0.9998933,0.00001104644,0.000008132356,0.00002433367,0.00003894912,0.00002419321],"domain_scores_gemma":[0.9999702,0.00000377983,0.000008312521,0.000003130859,0.000007042585,0.000007481673],"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":[0.00003960382,0.00003693052,0.0002882466,0.00005954429,0.000005007927,0.0001150433,0.00001137879,0.0002264826,0.9959401,0.00003054823,0.00003190394,0.003215263],"study_design_scores_gemma":[0.000002880681,0.00009246112,0.002738338,0.000007710896,0.000009149583,0.00007265314,0.00002519934,0.0004299442,0.9954734,0.0000143988,0.001130015,0.000003778024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930608,0.00234802,0.002052178,0.00003694596,0.00002074489,0.00001630941,0.0003648522,0.00005746725,0.002042732],"genre_scores_gemma":[0.991802,0.002190453,0.002788388,0.00002048726,0.000006298089,0.00001213941,0.0006973527,0.00001700048,0.002465965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001285563,"threshold_uncertainty_score":0.002556145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05729779569141025,"score_gpt":0.3004841937608208,"score_spread":0.2431863980694106,"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."}}