{"id":"W2021703045","doi":"10.1111/j.1600-0706.2011.19777.x","title":"Spectral analysis discerns pattern and feedback in natural‐ and anthropogenic‐disturbed boreal black spruce forests","year":2011,"lang":"en","type":"article","venue":"Oikos","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Black spruce; Shrub; Taiga; Understory; Vegetation (pathology); Disturbance (geology); Transect; Boreal; Environmental science; Spatial ecology; Common spatial pattern; Ecology; Spatial variability; Spatial distribution; Geography; Forestry; Geology; Biology; Canopy; Remote sensing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001801534,0.0001476176,0.0001243305,0.0009179579,0.000236021,0.0003022835,0.0001392608,0.0001066874,0.0005016941],"category_scores_gemma":[0.0005612589,0.00009188955,0.00009238395,0.000643238,0.0003703921,0.0001371677,0.0001680266,0.00008153993,0.00007416063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006762468,"about_ca_system_score_gemma":0.000410543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2276358,"about_ca_topic_score_gemma":0.351193,"domain_scores_codex":[0.9998955,0.00001128442,0.0000046409,0.00002288234,0.0000290747,0.00003668061],"domain_scores_gemma":[0.9996132,0.00007674575,0.00008375898,0.00002010066,0.0001505844,0.00005552097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004856421,0.00009022,0.8678079,0.000060036,0.00006267656,0.0002045978,0.001183219,0.002603269,0.07672217,0.0002702207,0.0005916089,0.04991835],"study_design_scores_gemma":[0.000001066415,0.000008257947,0.9984408,0.000001181169,0.000002784707,0.00002319314,0.0001260629,0.001033228,0.0002548081,0.00001719327,0.0000895747,0.000001897363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991628,0.00002773275,0.0003766247,0.000007950987,8.622828e-7,0.00000221005,0.00008011639,0.00001264058,0.0003291492],"genre_scores_gemma":[0.999449,0.00001879641,0.0002501413,0.000004511066,9.615032e-7,0.000002367558,0.0001311137,0.000002637592,0.0001405173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2276358,"threshold_uncertainty_score":0.4526216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0074458149667571,"score_gpt":0.2164636817140012,"score_spread":0.2090178667472442,"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."}}