{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004051203,0.000161658,0.0001089052,0.0008863478,0.0004007918,0.0005841096,0.0001998572,0.0001432084,0.001820231],"category_scores_gemma":[0.0007702257,0.00009815591,0.0001312415,0.0005800948,0.0002148033,0.000298322,0.0002963321,0.0001534898,0.0002292121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000634944,"about_ca_system_score_gemma":0.0004436323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06084166,"about_ca_topic_score_gemma":0.191454,"domain_scores_codex":[0.999767,0.00007046095,0.00001647955,0.00004796028,0.00004986595,0.0000483238],"domain_scores_gemma":[0.9990634,0.0001787768,0.0003268057,0.00005455689,0.0002047081,0.0001716875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009702424,0.00008445424,0.9923878,0.000009328412,0.00001832598,0.00008148022,0.0003762333,0.0002560296,0.001150209,0.00002344181,0.0002347495,0.005281032],"study_design_scores_gemma":[0.000004043718,0.00009639882,0.9966396,0.000007573054,0.000008369513,0.00006285295,0.001060246,0.000954678,0.0008128557,0.000009793373,0.0003386424,0.000004985526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984292,0.00001253284,0.0001441068,0.00000649434,9.42051e-7,0.00001813972,0.0005742944,0.000009728494,0.0008044564],"genre_scores_gemma":[0.998242,0.00002396635,0.0006932612,0.000005604435,0.000001313805,0.00001960948,0.0005023064,0.000001807601,0.0005101239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06084166,"threshold_uncertainty_score":0.120975,"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."}}