{"id":"W4200504308","doi":"10.3389/frsc.2021.767501","title":"The Impact of Scarcity on Pro-environmental Behavior in the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Frontiers in Sustainable Cities","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. Forest Service; U.S. Department of Agriculture","keywords":"Scarcity; Mindset; Pandemic; Multitude; Environmental degradation; Sustainability; Coronavirus disease 2019 (COVID-19); Natural resource economics; Business; Development economics; Environmental resource management; Political science; Economics; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001103953,0.0001953864,0.0002139623,0.00006892046,0.000342079,0.00005650843,0.0004755477,0.00008885135,0.0006366424],"category_scores_gemma":[0.0004051061,0.0001276839,0.0001410409,0.0004063356,0.001193865,0.0002120486,0.000225901,0.000336248,0.000007607953],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004846099,"about_ca_system_score_gemma":0.0002155937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002149136,"about_ca_topic_score_gemma":0.0001514446,"domain_scores_codex":[0.9977567,0.0005151108,0.000354412,0.0003623485,0.0004353469,0.0005761415],"domain_scores_gemma":[0.9990022,0.0002156088,0.0001000906,0.0005666271,0.000005860159,0.0001096547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008069578,0.000442726,0.9824293,0.00002366661,0.000006416938,0.0000657848,0.005700291,0.002895527,0.00003871612,0.0002139501,0.006896999,0.001205879],"study_design_scores_gemma":[0.0003790193,0.00009745795,0.7824197,0.000002514825,0.000006797645,0.00001513554,0.2045901,0.00008763973,0.00004290533,0.00422604,0.008001799,0.0001309282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946876,0.0003765469,0.00005814348,0.0007261875,0.000100759,0.0007798771,0.00001427598,0.00001139084,0.003245287],"genre_scores_gemma":[0.9929912,0.0002118362,0.00009357103,0.000417531,0.00001312256,0.0002848866,0.00001687028,0.00001284654,0.005958115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2000097,"threshold_uncertainty_score":0.9989741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649491402882676,"score_gpt":0.2882756677329867,"score_spread":0.27178075370416,"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."}}