{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006516214,0.0001257223,0.0001539759,0.00001711349,0.0001420692,0.00003875017,0.00006589204,0.00003674305,0.00003675761],"category_scores_gemma":[0.000001241594,0.0000496662,0.00005436688,0.0001017865,0.0001536214,0.0000439485,0.0001914785,0.00005615687,2.734279e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000239996,"about_ca_system_score_gemma":0.000002407041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002594696,"about_ca_topic_score_gemma":0.000009818628,"domain_scores_codex":[0.9992834,0.0000439256,0.0001230952,0.0002856466,0.0001278075,0.0001361752],"domain_scores_gemma":[0.9998026,0.00001048603,0.00005777092,0.00004405147,0.00001543118,0.00006967904],"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":[0.000147556,0.0001470782,0.0006738763,0.00001263042,0.00003123699,0.000003654664,0.00004648204,0.00000160885,0.9709249,0.0003063175,0.0003249026,0.02737976],"study_design_scores_gemma":[0.001463585,0.003887419,0.1779756,0.00007649208,0.00007753989,0.00008935852,0.001096676,0.0003871728,0.7803289,0.000162409,0.03353754,0.0009173436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984886,0.0003311036,6.910835e-7,0.000900827,0.00005492013,0.00007928615,0.00003344587,0.00002508108,0.00008602111],"genre_scores_gemma":[0.9994828,0.00005399381,0.00001245402,0.0001187454,0.00009100114,0.00001479037,0.00004374759,0.000001315947,0.0001811551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.190596,"threshold_uncertainty_score":0.2025329,"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."}}