{"id":"W2072270213","doi":"10.1016/j.ijhydene.2013.06.063","title":"Ozone pretreatment of wheat straw for enhanced biohydrogen production","year":2013,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Dairy Farmers of Ontario","keywords":"Biohydrogen; Ozone; Chemistry; Straw; Fermentation; Dark fermentation; Lignin; Reducing sugar; Pulp and paper industry; Biomass (ecology); Lignocellulosic biomass; Sugar; Hydrolysis; Biofuel; Enzymatic hydrolysis; Food science; Hydrogen production; Agronomy; Biochemistry; Biotechnology; Organic chemistry; Biology; Catalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009074189,0.0002796665,0.000229986,0.0001455604,0.0002027011,0.0003478512,0.0001653725,0.000242267,0.001027707],"category_scores_gemma":[0.00008501112,0.0001370891,0.000308019,0.0001689827,0.00008909427,0.0001922367,0.0001574713,0.0003530153,0.0001568683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001890112,"about_ca_system_score_gemma":0.0003612849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955314,"about_ca_topic_score_gemma":0.005570442,"domain_scores_codex":[0.9999374,0.000006238115,0.000004428315,0.00001072585,0.00001484492,0.00002629259],"domain_scores_gemma":[0.9999763,0.000004412653,0.000004965079,0.000002355711,0.000006272912,0.000005648466],"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":[0.0001409622,0.00002243297,0.0002262778,0.00003747884,0.000008810409,0.0000394519,0.00001595292,0.00009839652,0.9972736,0.00003983104,0.00004347874,0.002053286],"study_design_scores_gemma":[0.000008980047,0.000172351,0.003821577,0.000004224051,0.00001898666,0.00003026511,0.00005254884,0.0005777085,0.9942696,0.0000278764,0.001010401,0.000005464567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969802,0.000801368,0.001174001,0.00006636747,0.00005410157,0.00001070749,0.000128342,0.00001533012,0.0007695459],"genre_scores_gemma":[0.9976953,0.0004557557,0.0005892051,0.0000167617,0.000005068908,0.000003702403,0.0001290767,0.000006420625,0.001098699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001955314,"threshold_uncertainty_score":0.003887892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0085906631358674,"score_gpt":0.2181048451327561,"score_spread":0.2095141819968887,"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."}}