{"id":"W4388866315","doi":"10.3368/er.41.4.199","title":"Visitor Use and Activities Detected Using Trail Cameras at Forest Restoration Sites","year":2023,"lang":"en","type":"article","venue":"Ecological Restoration","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; Canada Excellence Research Chairs, Government of Canada; Kennesaw State University","keywords":"Visitor pattern; Evening; Daylight; Geography; Ecosystem services; Forestry; Sampling (signal processing); Environmental science; Ecosystem; Ecology; Computer science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003498438,0.0001219725,0.0001951499,0.0001496603,0.0002808285,0.000121951,0.000052495,0.0001540731,0.0002049202],"category_scores_gemma":[0.0003092266,0.0001354546,0.00004168375,0.0001510833,0.00007583424,0.0008267637,0.00006296155,0.00008299886,0.0004192728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004639133,"about_ca_system_score_gemma":0.00000901115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008427748,"about_ca_topic_score_gemma":0.0006165706,"domain_scores_codex":[0.9990382,0.00004033264,0.0003551394,0.0003326547,0.00003873739,0.0001949072],"domain_scores_gemma":[0.9994045,0.0001623125,0.0002271996,0.0001329514,0.000009358077,0.00006365555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003453441,0.00003955952,0.9826866,0.000009326654,0.00001506591,0.000003148655,0.000279339,0.004711573,0.006367821,0.004785535,0.0007978142,0.0002696472],"study_design_scores_gemma":[0.0002629691,0.000119367,0.9494355,0.000003155016,0.000005247978,0.000002040158,0.00007296213,0.04589551,0.0002115143,0.002570603,0.001262413,0.0001587239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983295,0.00008463046,0.0006082875,0.0001741024,0.0002122664,0.0002247639,0.00003476744,0.00008844114,0.0002432629],"genre_scores_gemma":[0.9982929,0.0001210191,0.0004983532,0.00007856854,0.0001170622,0.00003302367,0.0001553733,0.00001513006,0.0006885211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04118394,"threshold_uncertainty_score":0.5523679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1922588807605687,"score_gpt":0.2536331032582118,"score_spread":0.06137422249764307,"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."}}