{"id":"W1992968826","doi":"10.1139/cjfr-2012-0422","title":"Wildlife-mitigated precommercial thinning maintains the abundance of fruit shrubs in a boreal forest","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thinning; Wildlife; Shrub; Boreal; Clearcutting; Taiga; Forestry; Abundance (ecology); Ecology; Biology; Agroforestry; Geography; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003449637,0.0001963597,0.0001795828,0.0004211022,0.001361289,0.0004585069,0.000492294,0.0001446802,0.0009079712],"category_scores_gemma":[0.0006006114,0.000103667,0.0001309445,0.0003112265,0.0003977849,0.00025471,0.0002948927,0.000214407,0.00008770792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004432463,"about_ca_system_score_gemma":0.003491463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.881754,"about_ca_topic_score_gemma":0.9858136,"domain_scores_codex":[0.9997876,0.00001672174,0.000006945872,0.00004729215,0.00005137089,0.00009010173],"domain_scores_gemma":[0.999373,0.00003446593,0.000129272,0.00003758357,0.0002224101,0.0002032973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003501425,0.0002189012,0.9489037,0.00004506039,0.00007461381,0.0001813407,0.0005907673,0.0006604516,0.02336225,0.0001054312,0.0009273161,0.02457988],"study_design_scores_gemma":[0.000002468029,0.0000265328,0.9992275,0.000002716925,0.000005431355,0.00001989069,0.0001781866,0.00009765365,0.000156514,0.000006431504,0.0002742353,0.000002484051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987333,0.00007087409,0.00006163159,0.00002509875,0.000001748919,0.000008053456,0.0001163924,0.000006634973,0.0009763105],"genre_scores_gemma":[0.9990658,0.00005501612,0.000254131,0.00003210917,0.000001607347,0.000004852663,0.0001589722,0.000002375093,0.0004251742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.881754,"threshold_uncertainty_score":0.2378848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02251185397778748,"score_gpt":0.2761595591188338,"score_spread":0.2536477051410463,"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."}}