{"id":"W1984903704","doi":"10.1139/x07-062","title":"Natural regeneration and vegetation changes in wet spruce forests after natural and artificial disturbances","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bark beetle; Picea abies; Felling; Vegetation (pathology); Bark (sound); Forestry; Regeneration (biology); Silviculture; National park; Logging; Forest management; Geography; Agroforestry; Natural regeneration; Ecology; Environmental science; Biology","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":[0.0002870631,0.000168422,0.0001877958,0.000317408,0.000330525,0.0002906426,0.0001984871,0.0001742444,0.0004706438],"category_scores_gemma":[0.0003856623,0.0000974778,0.0001768463,0.0001451653,0.0005422102,0.0001515045,0.0002431118,0.0002360181,0.0001084347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004415906,"about_ca_system_score_gemma":0.000265483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007623584,"about_ca_topic_score_gemma":0.0201685,"domain_scores_codex":[0.999862,0.00002874243,0.000009504326,0.00002893537,0.00002660653,0.00004427075],"domain_scores_gemma":[0.9996417,0.00005822577,0.000108141,0.0000283727,0.0000459648,0.0001177123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004938758,0.002243251,0.5415574,0.0002259621,0.0002715334,0.002329145,0.002128799,0.003199225,0.412476,0.0003249908,0.0003020458,0.03000275],"study_design_scores_gemma":[0.00001438606,0.0007471781,0.9954745,0.000003656902,0.00000777675,0.0001797552,0.0002359036,0.0004427658,0.002574972,0.0000402523,0.0002734829,0.000005321674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999756,0.00004021107,0.00002902674,0.000001476892,0.000001269474,0.000003445073,0.00002511089,0.000001888787,0.0001414618],"genre_scores_gemma":[0.9993687,0.00003732238,0.00008186619,0.000006841491,0.0000021271,0.000009792033,0.0001451835,0.000001245041,0.0003469752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007623584,"threshold_uncertainty_score":0.01515841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03330829979246314,"score_gpt":0.2663008590753215,"score_spread":0.2329925592828583,"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."}}