{"id":"W4362611760","doi":"10.3390/en16073257","title":"Chemical Elements Content and Distributions within Different Tissue Types of White Spruce","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Forest ecology and management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue; Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"Bark (sound); Cambium; Chemical composition; Chemistry; Nitrogen; Botany; Horticulture; Biology; Xylem; Ecology; Organic chemistry","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":[0.0001630444,0.0002339729,0.0001949614,0.0008471555,0.0004129193,0.0004593742,0.000213543,0.0002253016,0.0003685298],"category_scores_gemma":[0.0001194293,0.0001946128,0.0001593457,0.0003534876,0.0003749155,0.0002292617,0.0001888808,0.0002074936,0.00009439616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005508547,"about_ca_system_score_gemma":0.0002458885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03697785,"about_ca_topic_score_gemma":0.1233043,"domain_scores_codex":[0.9998202,0.000008600918,0.00001476667,0.0000897069,0.00003717147,0.00002955924],"domain_scores_gemma":[0.9997483,0.00002664108,0.00006889718,0.00001223392,0.00008030965,0.00006359295],"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":[0.0006059768,0.00006354135,0.265269,0.00007008707,0.00006811463,0.0001393768,0.0004849907,0.0001619276,0.7274231,0.0000620089,0.00003996134,0.005611973],"study_design_scores_gemma":[0.000002785966,0.0001373452,0.9901861,0.000002608252,0.00001951553,0.000069816,0.0002269956,0.00008633607,0.009074027,0.00001391031,0.0001769915,0.00000362509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993865,0.0001005416,0.00009666212,0.000002008078,8.423352e-7,0.000004128699,0.0001596144,0.000003847126,0.0002457544],"genre_scores_gemma":[0.9979772,0.00008449922,0.0004316907,0.00001685326,0.000001627239,0.00001048848,0.0005094728,0.000005765806,0.0009623049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03697785,"threshold_uncertainty_score":0.07352525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323765046473722,"score_gpt":0.2246354277635546,"score_spread":0.2113977772988174,"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."}}