{"id":"W4385977011","doi":"10.1016/j.foreco.2023.121327","title":"Urban forests support natural regeneration of cloud forest trees and shrubs, albeit with limited occurrence of late-successional species","year":2023,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"W. Garfield Weston Foundation; Garfield Weston Foundation","keywords":"Cloud forest; Species richness; Ecology; Shrub; Urban forest; Biodiversity; Vegetation (pathology); Abundance (ecology); Regeneration (biology); Geography; Species diversity; Biology; Agroforestry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002895833,0.0002131754,0.0002358435,0.00100578,0.0008060176,0.0006518865,0.0003280434,0.00009753973,0.007360423],"category_scores_gemma":[0.0004941671,0.0001232186,0.0001225665,0.001165865,0.0003674901,0.0003809379,0.0004980673,0.0001264921,0.0007574366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003059253,"about_ca_system_score_gemma":0.0003665094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008143467,"about_ca_topic_score_gemma":0.07775803,"domain_scores_codex":[0.9998146,0.0000311487,0.00001131072,0.00002995621,0.00003950797,0.00007362767],"domain_scores_gemma":[0.9990847,0.0001745619,0.0003378462,0.00006932214,0.0001378558,0.0001957495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003671676,0.0002978102,0.8702147,0.0004240883,0.0001490294,0.0003507567,0.00174038,0.0008628485,0.02312978,0.002176954,0.00176242,0.09852408],"study_design_scores_gemma":[0.00000542406,0.00004427949,0.9932047,0.0000162006,0.0000140053,0.0002422045,0.001081259,0.0002235525,0.0007914613,0.0002443002,0.004127245,0.000005284554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877462,0.0002865053,0.001072492,0.00003075787,0.000006386835,0.00002383564,0.0004569071,0.00005117297,0.0103257],"genre_scores_gemma":[0.9981589,0.0001356291,0.0004704016,0.00001268111,0.00000557581,0.000005782215,0.0002693025,0.000008061484,0.000933613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008143467,"threshold_uncertainty_score":0.0246231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007842741988786834,"score_gpt":0.2149637737938387,"score_spread":0.2071210318050519,"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."}}