{"id":"W1569292803","doi":"10.3390/f6061748","title":"Aerial Seeding: An Effective Forest Restoration Method in Highly Degraded Forest Landscapes of Sub-Tropic Regions","year":2015,"lang":"en","type":"article","venue":"Forests","topic":"Forest ecology and management","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Science Foundation","keywords":"Pinus massoniana; Understory; Environmental science; Seeding; Forest ecology; Forestry; Carbon stock; Agroforestry; Litter; Ecosystem; Natural regeneration; Agronomy; Ecology; Canopy; Geography; Biology; Botany; Climate change","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":[0.0005830937,0.0002612969,0.0001885231,0.0006177303,0.000326516,0.0002580718,0.0002822103,0.0001429536,0.0003877948],"category_scores_gemma":[0.0004606722,0.00006938931,0.0001576027,0.0003484629,0.0002486873,0.0002456143,0.000311136,0.00008325712,0.00003617741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003536842,"about_ca_system_score_gemma":0.0003749387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006907109,"about_ca_topic_score_gemma":0.03096697,"domain_scores_codex":[0.9997422,0.00007095847,0.00001805911,0.00006307411,0.00006642471,0.00003921256],"domain_scores_gemma":[0.9997613,0.00003334436,0.00009916451,0.00001838922,0.00003877065,0.0000490729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001550512,0.0006841837,0.4756434,0.0006872081,0.0001870157,0.00107706,0.001072616,0.0074612,0.1851468,0.0002487001,0.0003532275,0.3258882],"study_design_scores_gemma":[0.00003486531,0.001844407,0.9770521,0.00003219358,0.0001206602,0.0005232349,0.0005730319,0.007137688,0.01133836,0.0001039137,0.001217528,0.00002201597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983584,0.0002990883,0.0008639514,0.00001382949,0.00000598453,0.00002821908,0.00002296401,0.0000145849,0.0003929721],"genre_scores_gemma":[0.9979552,0.0001574214,0.001707765,0.000007252474,0.000004667168,0.00001003196,0.00003003305,0.000001336174,0.0001262698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006907109,"threshold_uncertainty_score":0.0137338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795634673737313,"score_gpt":0.2674239983601443,"score_spread":0.2494676516227712,"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."}}