{"id":"W2163306269","doi":"10.1111/j.1654-109x.2009.01043.x","title":"Response of pine natural regeneration to small‐scale spatial variation in a managed Mediterranean mountain forest","year":2009,"lang":"en","type":"article","venue":"Applied Vegetation Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ordination; Shrub; Regeneration (biology); Point pattern analysis; Canopy; Spatial ecology; Mediterranean climate; Mediterranean Basin; Ecology; Spatial variability; Environmental science; Forest management; Spatial distribution; Geography; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004301227,0.0001075361,0.0001676203,0.0004913042,0.0001836133,0.0003517391,0.0002321539,0.0001529969,0.0005340134],"category_scores_gemma":[0.00108072,0.00007351804,0.0001426169,0.0002701063,0.0002780925,0.0001156927,0.0002457469,0.00008367817,0.00006908783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003503671,"about_ca_system_score_gemma":0.0001346037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006565711,"about_ca_topic_score_gemma":0.01390713,"domain_scores_codex":[0.9997119,0.00009153997,0.00001669288,0.00009265135,0.00003866676,0.00004849926],"domain_scores_gemma":[0.9992189,0.000217984,0.000281818,0.00005786261,0.00009200267,0.0001313664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001604416,0.00003927724,0.9905593,0.00001549714,0.00008783034,0.00009982663,0.0003996471,0.0006616793,0.004293062,0.00002532111,0.00007234642,0.003585738],"study_design_scores_gemma":[0.000001490368,0.00001984018,0.9995207,8.799345e-7,0.000002323152,0.00001445475,0.00009218434,0.00027,0.00003270072,0.000007114264,0.00003753453,8.587651e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998574,0.00001578994,0.00002857959,0.000002741066,3.167158e-7,0.000001134028,0.00002982158,0.000001883305,0.00006217705],"genre_scores_gemma":[0.9998741,0.000005960276,0.00002731202,0.000002038671,8.664839e-7,0.000002558532,0.00005506599,7.796061e-7,0.00003134377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006565711,"threshold_uncertainty_score":0.01305503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009462198131085377,"score_gpt":0.2414989075104081,"score_spread":0.2320367093793228,"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."}}