{"id":"W4319162018","doi":"10.1016/j.biombioe.2022.106683","title":"Comparative wood anatomy, composition and saccharification yields of wastewater irrigated willow cultivars at three plantations in Canada and Northern Ireland","year":2023,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Espace pour la vie; Université du Québec à Trois-Rivières; Collège de Maisonneuve; Natural Resources Canada; Université de Montréal","funders":"","keywords":"Willow; Wastewater; Biomass (ecology); Irrigation; Bioenergy; Cultivar; Agronomy; Dry matter; Environmental science; Lignin; Biofuel; Botany; Pulp and paper industry; Biology; Biotechnology; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006316668,0.00009126327,0.000130354,0.00003114825,0.0001183034,0.00001989421,0.00004050222,0.00004504892,0.00001403276],"category_scores_gemma":[0.000001580653,0.00004136343,0.00001100066,0.000259673,0.00007364551,0.00005279621,0.00005859146,0.00002741416,6.336049e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003325391,"about_ca_system_score_gemma":0.000009994815,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5062684,"about_ca_topic_score_gemma":0.9548449,"domain_scores_codex":[0.9993731,0.00002903911,0.0001653455,0.0002203701,0.00009039051,0.0001217454],"domain_scores_gemma":[0.9997934,0.00002657103,0.00006841252,0.00003246605,0.00002579513,0.00005341156],"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":[0.00007017158,0.00004103073,0.1661195,0.00002592339,0.00004716982,0.000006464761,0.00026267,0.00002230466,0.821059,0.0005146393,0.0002922486,0.01153889],"study_design_scores_gemma":[0.0002740603,0.00008143723,0.9544663,0.0000224013,0.00001291397,0.000006794117,0.0006945661,0.000676113,0.04069315,0.0001018022,0.002826146,0.0001443361],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980057,0.0001631236,0.000001010104,0.00155669,0.00005392995,0.00009056748,0.00005542371,0.00001698274,0.00005660331],"genre_scores_gemma":[0.9993855,0.0002220071,0.00001679582,0.00003293025,0.00001712,0.00001050416,0.000240805,7.160459e-7,0.00007364194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7883468,"threshold_uncertainty_score":0.4970194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119379246670305,"score_gpt":0.2141859146663078,"score_spread":0.1929921221996047,"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."}}