{"id":"W2156178799","doi":"10.1139/x01-014","title":"An alternative to clear-cutting in the boreal forest of Alaska: a 27-year study of regeneration after shelterwood harvesting","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scarification; Clearcutting; Boreal; Forestry; Silviculture; Black spruce; Taiga; Hectare; Natural regeneration; Agronomy; Environmental science; Agroforestry; Forest management; Biology; Geography; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006077839,0.0002414484,0.0002662513,0.0003431138,0.0007532541,0.0003440272,0.0002088381,0.0002720942,0.000559954],"category_scores_gemma":[0.0003910215,0.0001146396,0.0002691744,0.0002306518,0.0003901361,0.0003159184,0.0002858857,0.0002619961,0.0001434901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000365167,"about_ca_system_score_gemma":0.0003449943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01327065,"about_ca_topic_score_gemma":0.0460537,"domain_scores_codex":[0.9998431,0.00003054384,0.00001022373,0.00003333542,0.00002814354,0.00005457026],"domain_scores_gemma":[0.9995004,0.00008617299,0.000134944,0.00003794152,0.00007112096,0.0001693902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001394733,0.001514391,0.960757,0.000047525,0.00007848276,0.0009164088,0.001758528,0.000334376,0.02084158,0.00006670739,0.0001173284,0.01217292],"study_design_scores_gemma":[0.000006125852,0.0009989642,0.9968141,0.000003385695,0.0000144625,0.0001457723,0.0009255863,0.0001077295,0.0007149536,0.00001127187,0.0002526582,0.000005085372],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998659,0.00002979815,0.00001109853,0.000001147119,9.734036e-7,0.000002348662,0.00001779879,4.659564e-7,0.00007054552],"genre_scores_gemma":[0.9989709,0.0001045318,0.00008806137,0.00001003328,0.000003062768,0.000008191969,0.0002519898,0.000001066904,0.0005622252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327065,"threshold_uncertainty_score":0.0263868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06646294481136023,"score_gpt":0.3003317275804279,"score_spread":0.2338687827690677,"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."}}