{"id":"W4413054193","doi":"10.1021/jacs.5c01871","title":"Enhancing Hydrogen Production from Bioenergy Crops via Photoreforming","year":2025,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council; Great Lakes Bioenergy Research Center; Horizon 2020 Framework Programme; Office of Science; U.S. Department of Energy; UK Catalysis Hub; King Abdulaziz City for Science and Technology; Biological and Environmental Research; European Commission","keywords":"Miscanthus; Biomass (ecology); Hemicellulose; Bioenergy; Lignin; Chemistry; Cellulose; Lignocellulosic biomass; Willow; Raw material; Agronomy; Biofuel; Panicum virgatum; Energy crop; Pulp and paper industry; Botany; Biotechnology; Organic chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002142151,0.000511655,0.0001936396,0.0001903892,0.00009776367,0.0002974708,0.0002274438,0.0002619909,0.0004911508],"category_scores_gemma":[0.0001342431,0.0001864559,0.0002790151,0.0002088001,0.0001771428,0.0003008302,0.0002679376,0.0004257198,0.000120513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001853639,"about_ca_system_score_gemma":0.00009647428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003287437,"about_ca_topic_score_gemma":0.0006753641,"domain_scores_codex":[0.9999028,0.00001401176,0.000006575504,0.00002543169,0.00003037421,0.00002070619],"domain_scores_gemma":[0.9999053,0.00002073228,0.00003645429,0.00001123329,0.00001096488,0.00001524036],"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":[0.000006715257,0.000004320321,0.00004481842,0.000009311198,0.000001424284,0.000007005802,0.000003582297,0.00002354218,0.9996192,0.00001657626,0.000002624882,0.000260835],"study_design_scores_gemma":[0.000001732847,0.00005604936,0.001327519,0.000001238045,0.000005490541,0.00002818817,0.000009182341,0.0003063925,0.9979101,0.00001867577,0.0003331217,0.000002304757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957415,0.0003194758,0.003210437,0.00002881197,0.000009270267,0.0000165206,0.0001049935,0.000046908,0.0005221537],"genre_scores_gemma":[0.9944212,0.0003135652,0.004171612,0.00003027004,0.000003889352,0.0000157625,0.0001837174,0.00002240886,0.0008376508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000511655,"threshold_uncertainty_score":0.001643062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007096120681790819,"score_gpt":0.2123287092684862,"score_spread":0.2052325885866954,"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."}}