{"id":"W4220790201","doi":"10.1016/j.foreco.2022.120132","title":"Intra-annual variation in microclimatic conditions in relation to vegetation type and structure in two tropical dry forests undergoing secondary succession","year":2022,"lang":"en","type":"article","venue":"Forest Ecology and Management","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Microclimate; Ecological succession; Tropical and subtropical dry broadleaf forests; Environmental science; Vegetation (pathology); Dry season; Secondary succession; Ecosystem; Ecology; Wet season; Basal area; Agroforestry; Biology","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":[0.000360789,0.0001944058,0.0002408958,0.0008488913,0.0007638566,0.0005044742,0.0002682027,0.0002510888,0.0008226148],"category_scores_gemma":[0.0007906789,0.0001707399,0.0001925232,0.0005646677,0.0006517438,0.000258617,0.0004449975,0.0003044957,0.0001554342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004824566,"about_ca_system_score_gemma":0.0002100214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077168,"about_ca_topic_score_gemma":0.02743976,"domain_scores_codex":[0.9998728,0.00003044464,0.000009389024,0.00002857695,0.00001529665,0.00004347548],"domain_scores_gemma":[0.9993042,0.0002094534,0.0001452449,0.00003428202,0.00006868999,0.0002380833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001263368,0.0002147359,0.9809498,0.00002120783,0.0000679193,0.0001861217,0.001759675,0.000166592,0.01231741,0.00006313874,0.00008867205,0.00290141],"study_design_scores_gemma":[0.000003283337,0.0000389191,0.9994057,6.214268e-7,0.000006201814,0.00003734028,0.0002811635,0.00007005719,0.0001045335,0.000006950328,0.00004366042,0.000001557901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998504,0.000008840909,0.00001425297,0.000002229188,7.853761e-7,0.00000133346,0.00002946579,6.754526e-7,0.00009185437],"genre_scores_gemma":[0.9997473,0.0000077922,0.00003011905,0.000004355993,0.000001862761,0.000003588466,0.0001006403,7.949067e-7,0.0001034156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01077168,"threshold_uncertainty_score":0.02141792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003965466116063354,"score_gpt":0.237465309757286,"score_spread":0.2334998436412226,"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."}}