{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002935731,0.0001289757,0.0002203743,0.0003308835,0.002459625,0.00216472,0.0003290689,0.001265926,0.004239326],"category_scores_gemma":[0.006503441,0.000184506,0.0002446204,0.0002847288,0.003639964,0.002048266,0.002852181,0.002329722,0.000308531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002517977,"about_ca_system_score_gemma":0.001647658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0122056,"about_ca_topic_score_gemma":0.01804786,"domain_scores_codex":[0.998203,0.001186692,0.00003178082,0.00008535151,0.0001185895,0.0003745276],"domain_scores_gemma":[0.9968399,0.001331604,0.0005332318,0.0001054947,0.000259084,0.0009307731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009628538,0.002864252,0.5942432,0.0004305108,0.0001714168,0.00157342,0.1913324,0.002641369,0.002901305,0.05018645,0.02602375,0.1266691],"study_design_scores_gemma":[0.00005765051,0.0006866726,0.7133161,0.0004370257,0.00006611656,0.000464292,0.1952995,0.002443296,0.0005654513,0.04454641,0.04199283,0.0001246335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423606,0.0006719106,0.000674661,0.02613114,0.0001739522,0.00002057338,0.00006895272,0.00001052294,0.02988773],"genre_scores_gemma":[0.9972534,0.0003187706,0.00009506939,0.001513007,0.00003170266,0.00001346636,0.00001786137,0.000005094362,0.000751526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0122056,"threshold_uncertainty_score":0.0242691,"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."}}