{"id":"W4220936576","doi":"10.1016/j.biombioe.2022.106390","title":"Impact of stem age and winter outdoor storage on willow chip chemical composition and physicochemical properties","year":2022,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Espace pour la vie; Université de Montréal","funders":"Mitacs","keywords":"Biomass (ecology); Willow; Bioenergy; Context (archaeology); Composition (language); Environmental science; Lignin; Biofuel; Agronomy; Pulp and paper industry; Horticulture; Botany; Biology; Biotechnology; Engineering","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":[0.0002244003,0.0002725233,0.0002617657,0.0002015094,0.0002583626,0.0005357785,0.0001880467,0.0002505603,0.003246195],"category_scores_gemma":[0.0003338878,0.0001390633,0.0003301729,0.000199208,0.0001711746,0.0004209015,0.0002596967,0.0002880484,0.0002392494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005524631,"about_ca_system_score_gemma":0.0004693806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005516048,"about_ca_topic_score_gemma":0.01601601,"domain_scores_codex":[0.9999089,0.00001230031,0.000006717549,0.00002678377,0.00001222683,0.0000330896],"domain_scores_gemma":[0.9995655,0.0001683068,0.00006216417,0.00002088145,0.00005360676,0.0001294289],"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":[0.005897119,0.00040115,0.1437921,0.00007292422,0.0001687287,0.0003050934,0.0001308103,0.001000369,0.8373692,0.0001231287,0.0002678829,0.01047155],"study_design_scores_gemma":[0.00002287279,0.001018001,0.9214799,0.000007274785,0.0001362559,0.000162042,0.0002583472,0.002007572,0.0739223,0.00009976836,0.0008670345,0.00001856405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992453,0.0001324514,0.0000985185,0.00001219619,0.000006485389,0.000002841731,0.0001798094,0.000004864777,0.0003175885],"genre_scores_gemma":[0.9982564,0.00005656436,0.00009906369,0.00004978851,0.000004695112,0.000003947619,0.0003048125,0.00001253398,0.001212319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005516048,"threshold_uncertainty_score":0.01096791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226898838881505,"score_gpt":0.2107064709023465,"score_spread":0.188016587014196,"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."}}