{"id":"W2588551296","doi":"10.3390/f8020041","title":"Using Macronutrient Distributions within Trees to Define a Branch Diameter Threshold for Biomass Harvest in Sugar Maple-Dominated Stands","year":2017,"lang":"en","type":"article","venue":"Forests","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nutrient; Yellow birch; Biomass (ecology); Sugar; Environmental science; Biomass partitioning; Maple; Agronomy; Botany; Biology; Ecology","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":[0.0004969635,0.0001916289,0.0001434585,0.0003124219,0.0002091803,0.0008019338,0.0003162074,0.0002788356,0.0003465254],"category_scores_gemma":[0.0005357121,0.00008724271,0.0001592897,0.0002454944,0.0002746617,0.0004627535,0.0002781895,0.0001361055,0.00006382135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006197899,"about_ca_system_score_gemma":0.0002832915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00842582,"about_ca_topic_score_gemma":0.0179504,"domain_scores_codex":[0.9999094,0.00001751754,0.000005459404,0.00003077337,0.00001566242,0.00002119172],"domain_scores_gemma":[0.9997804,0.0001110014,0.00004616634,0.00001149786,0.00002258981,0.00002837155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006806634,0.0002066294,0.6986902,0.0001375156,0.000125583,0.0004640027,0.0005668156,0.180932,0.0940338,0.003088724,0.0001966195,0.02087736],"study_design_scores_gemma":[0.00001891701,0.0001727817,0.7931118,0.00002370658,0.0000461188,0.000102195,0.0008384893,0.1904428,0.01225192,0.002347952,0.0006147204,0.00002860885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982747,0.00004058891,0.001281539,0.000005659187,5.588699e-7,0.000003982289,0.00002905261,0.000005519631,0.0003584666],"genre_scores_gemma":[0.999537,0.00001241561,0.0003696175,0.000002651967,2.506085e-7,0.000002453174,0.00002997104,0.000001204192,0.00004446264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00842582,"threshold_uncertainty_score":0.01675355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375621578263673,"score_gpt":0.2839059376659024,"score_spread":0.2501497218832657,"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."}}