{"id":"W2215431329","doi":"10.3390/f7010005","title":"Managed Mixtures of Aspen and White Spruce 21 to 25 Years after Establishment","year":2015,"lang":"en","type":"article","venue":"Forests","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of Alberta; Ministry of Forests","funders":"Ministry of Forests, Lands and Natural Resource Operations","keywords":"Taiga; Boreal; Black spruce; Forestry; Silviculture; Environmental science; Natural regeneration; Disturbance (geology); Regeneration (biology); Agroforestry; Agronomy; Geography; Ecology; Biology","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":[0.0005622847,0.000475128,0.0004365176,0.0003656355,0.0008755791,0.0005073594,0.0005587624,0.0002273785,0.0007090262],"category_scores_gemma":[0.0002910061,0.0001631934,0.0003379374,0.0002075389,0.0003276905,0.0003146191,0.0005380507,0.0003905229,0.0001798943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181503,"about_ca_system_score_gemma":0.0006577126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0167236,"about_ca_topic_score_gemma":0.08195182,"domain_scores_codex":[0.9996775,0.00003932417,0.0000238535,0.00009755871,0.00008470222,0.00007704998],"domain_scores_gemma":[0.9994023,0.00006360261,0.0001499173,0.00006871116,0.0001286961,0.0001868244],"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":[0.005758073,0.006140439,0.3211738,0.0001284034,0.0005150794,0.001743363,0.001151011,0.002633954,0.6132054,0.0002572025,0.0008328341,0.04646042],"study_design_scores_gemma":[0.0001262786,0.02329922,0.8713186,0.00001743799,0.00023267,0.0007714409,0.0008825672,0.00303281,0.09420977,0.0001626894,0.005898274,0.00004810831],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990885,0.00006117675,0.0002461462,0.000003662178,0.00000539385,0.00003974243,0.0001230684,0.00001359352,0.0004187122],"genre_scores_gemma":[0.9950118,0.00005576183,0.001332394,0.00002836281,0.000007188948,0.0001209082,0.0008470009,0.000006748408,0.002589885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167236,"threshold_uncertainty_score":0.03325254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569483074032591,"score_gpt":0.2153908775966664,"score_spread":0.1996960468563405,"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."}}