{"id":"W3167625652","doi":"10.3390/f12060791","title":"Opportunities and Challenges for Intensive Silviculture in Alberta, Canada","year":2021,"lang":"en","type":"article","venue":"Forests","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Silviculture; Thinning; Forest management; Agroforestry; Argument (complex analysis); Business; Forestry; Geography; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001429971,0.0003606332,0.0002559354,0.0006774883,0.004547916,0.004264359,0.001797654,0.001002215,0.005571018],"category_scores_gemma":[0.001195902,0.0001623937,0.0004159501,0.001167673,0.001575475,0.0008076582,0.001338028,0.001232024,0.0002041278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04485159,"about_ca_system_score_gemma":0.1133004,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848482,"about_ca_topic_score_gemma":0.9963925,"domain_scores_codex":[0.998359,0.0001686675,0.00002223946,0.00007416314,0.0004597658,0.000916129],"domain_scores_gemma":[0.998675,0.0001676437,0.00006372529,0.00003967286,0.0004584674,0.0005954225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001067565,0.0009549286,0.2226477,0.001112049,0.0002458956,0.004625815,0.004955316,0.1407816,0.01647015,0.1289142,0.114954,0.3632707],"study_design_scores_gemma":[0.0002347019,0.0005120629,0.3648201,0.00120043,0.0002808491,0.0008338118,0.04814338,0.06444027,0.004078377,0.04706724,0.4680641,0.0003247075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7684872,0.005968107,0.004523216,0.04666689,0.0002374117,0.0002080015,0.001797309,0.0002741645,0.1718377],"genre_scores_gemma":[0.9718059,0.003087422,0.005279118,0.002951932,0.00004129949,0.00002826603,0.0007565483,0.00002728038,0.01602228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04485159,"threshold_uncertainty_score":0.3254226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404980769253216,"score_gpt":0.2266371864651428,"score_spread":0.1925873787726106,"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."}}