{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001341519,0.00006218824,0.00007815617,0.00001451176,0.00001970834,0.00003582651,0.00009645421,0.00002856725,0.0001023958],"category_scores_gemma":[0.00001738578,0.00002548468,0.00002098773,0.0001420361,0.00002842228,0.0000629217,0.0001325266,0.00002889153,0.00002442465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009579344,"about_ca_system_score_gemma":0.000002490523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001981587,"about_ca_topic_score_gemma":0.002564304,"domain_scores_codex":[0.9994655,0.00002036057,0.00009022754,0.0001729739,0.0001324456,0.0001184825],"domain_scores_gemma":[0.9997719,0.000005618382,0.00002854429,0.00005306676,0.00003248546,0.0001084109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004378394,0.0002984416,0.2712028,0.00004839438,0.00007863346,0.00005028266,0.001430286,0.0001210334,0.00996468,0.00303557,0.3113242,0.4020078],"study_design_scores_gemma":[0.00007803992,0.0001287482,0.736609,0.000007494059,0.000005182913,0.000001141902,0.0001151074,0.000002406053,0.0006777945,0.0003941665,0.2619151,0.00006577198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940095,0.0001169269,0.000007317281,0.002898658,0.0001567781,0.0001395195,0.000005822554,0.0000217248,0.002643779],"genre_scores_gemma":[0.9951251,0.00001095479,0.000246621,0.0003955737,0.0001001119,0.00001427092,0.00000794414,5.943939e-7,0.004098811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4654062,"threshold_uncertainty_score":0.1430942,"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."}}