{"id":"W3117281638","doi":"10.3390/en14010093","title":"Bioenergy Conversion Potential of Decaying Hardwoods","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada; Institut National de la Recherche Scientifique; Université Laval","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Institut national de la recherche scientifique","keywords":"Bioenergy; Biomass (ecology); Environmental science; Pulp and paper industry; Biofuel; Raw material; Combustion; Hardwood; Lignin; Chemistry; Botany; Agronomy; Biology; Biotechnology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002533761,0.00040458,0.0002212417,0.0008145905,0.0003777348,0.0009778049,0.0002501302,0.0001560606,0.0009866308],"category_scores_gemma":[0.0002510314,0.0001019331,0.0002025475,0.0007103833,0.0002634703,0.0003244696,0.0003389166,0.0002819427,0.0001539456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006757701,"about_ca_system_score_gemma":0.0004769945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02824783,"about_ca_topic_score_gemma":0.07497623,"domain_scores_codex":[0.9998034,0.00001284868,0.00001489038,0.00003059055,0.00007053982,0.00006777353],"domain_scores_gemma":[0.9996539,0.00004986173,0.00005146522,0.0000159942,0.000138762,0.00009002295],"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":[0.0004414488,0.00008973325,0.1007653,0.0001766512,0.0000535742,0.000277972,0.0002828969,0.0007347874,0.8789794,0.0002207567,0.00002539272,0.01795217],"study_design_scores_gemma":[0.000004869054,0.0003204169,0.7923532,0.00004447835,0.00006211124,0.0002717846,0.001245838,0.001229966,0.2027896,0.0002370104,0.001421801,0.00001885102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983636,0.0004931052,0.0002207206,0.000003662956,0.000001259091,0.000004137903,0.0001237736,0.000003249495,0.0007864769],"genre_scores_gemma":[0.9981894,0.0002610318,0.0003362233,0.000008625317,7.540714e-7,0.000002998672,0.000371317,0.00000368063,0.0008260381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02824783,"threshold_uncertainty_score":0.05616683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085110538478295,"score_gpt":0.1842023931648647,"score_spread":0.1733512877800817,"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."}}