{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002151861,0.0001403592,0.00018037,0.00004692396,0.0001045063,0.000065737,0.00007902679,0.00004220802,0.00006446976],"category_scores_gemma":[0.00003658358,0.0001074143,0.000009712492,0.0003181721,0.000379626,0.0001447137,0.0003345981,0.00009325299,4.825521e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004270375,"about_ca_system_score_gemma":0.00008700803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8393605,"about_ca_topic_score_gemma":0.9830433,"domain_scores_codex":[0.9990441,0.00008291766,0.0001484348,0.0002681162,0.0001708866,0.0002855192],"domain_scores_gemma":[0.9995891,0.00004328097,0.00004098093,0.0001111733,0.000003646322,0.0002118331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004852013,0.00001022114,0.9738067,0.00003537781,0.000008933751,0.00009319895,0.0007656266,0.00005311667,3.533582e-8,0.001674051,0.01940286,0.004101354],"study_design_scores_gemma":[0.002043549,0.00003359639,0.9441172,0.00001367697,0.0000138625,0.00001493962,0.000749536,0.01321303,1.984244e-7,0.01051628,0.0291346,0.000149461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924899,0.001143002,0.00005198128,0.003974216,0.0001629271,0.0003348021,0.00007395421,0.00000582687,0.001763416],"genre_scores_gemma":[0.9931712,0.001449757,0.0002434097,0.004917308,0.00002738535,0.00003487064,0.00005624411,0.000005904339,0.00009397268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1436828,"threshold_uncertainty_score":0.4380227,"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."}}