{"id":"W3188709410","doi":"10.3389/ffgc.2021.666960","title":"COVID-19 and Forests in Canada and the United States: Initial Assessment and Beyond","year":2021,"lang":"en","type":"article","venue":"Frontiers in Forests and Global Change","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"U.S. Forest Service; Natural Resources Canada; University of Minnesota; Auburn University; U.S. Department of the Interior","keywords":"Business; Sustainability; Tourism; Coronavirus disease 2019 (COVID-19); Pandemic; Social distance; Recreation; Economic impact analysis; Geography; Political science; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003181141,0.0008836009,0.0006737249,0.005139119,0.00667072,0.005818876,0.001700242,0.0009311953,0.002953634],"category_scores_gemma":[0.006517137,0.0004936036,0.0009921819,0.01314943,0.002236122,0.001945552,0.003866663,0.001689628,0.0002134833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1219782,"about_ca_system_score_gemma":0.2304091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99864,"about_ca_topic_score_gemma":0.9993986,"domain_scores_codex":[0.9954683,0.0002929406,0.0001387539,0.0002020902,0.0022008,0.00169713],"domain_scores_gemma":[0.9882523,0.0007167031,0.0006545002,0.0001448082,0.008257247,0.001974368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003009898,0.0002931139,0.8451396,0.0009577054,0.0001798563,0.0008542842,0.007294696,0.001317613,0.0002783772,0.006247919,0.02042298,0.1167129],"study_design_scores_gemma":[0.0000197938,0.0001161254,0.9092396,0.001180582,0.0001562356,0.0002095382,0.02953609,0.001503405,0.0002604221,0.001172134,0.056495,0.0001110159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7664844,0.07338792,0.00115359,0.02789193,0.0003769991,0.001159623,0.03065205,0.0001332263,0.09876034],"genre_scores_gemma":[0.929365,0.04700111,0.002303269,0.002917511,0.000101756,0.0002137008,0.00762828,0.00002535083,0.01044403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1219782,"threshold_uncertainty_score":0.8850179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917083825810223,"score_gpt":0.2781937429472698,"score_spread":0.2590229046891676,"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."}}