{"id":"W3207473453","doi":"10.3390/jrfm14100483","title":"Transnational and Transdisciplinary Lessons from the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Coronavirus; Virology; Betacoronavirus; China; Sars virus; Medicine; Geography; Political science; Outbreak; Infectious disease (medical specialty); Disease; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.008604811,0.0004619193,0.0004739074,0.0006570096,0.008530862,0.008657132,0.00140397,0.006138115,0.01333104],"category_scores_gemma":[0.006182821,0.000303219,0.0005418331,0.0009939801,0.008445587,0.009474072,0.009571944,0.01567542,0.00137617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006203923,"about_ca_system_score_gemma":0.01706981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0261544,"about_ca_topic_score_gemma":0.06163731,"domain_scores_codex":[0.9956623,0.002057565,0.0001029123,0.0002719022,0.0004100037,0.001495421],"domain_scores_gemma":[0.9930297,0.001183633,0.000230785,0.0002697733,0.0007359181,0.004550095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003004369,0.0004400288,0.01668294,0.0007909267,0.0001197127,0.004005087,0.1526137,0.000857282,0.001312316,0.211884,0.425245,0.1857487],"study_design_scores_gemma":[0.00004545835,0.0001868767,0.009686367,0.0009006648,0.0000218221,0.000671836,0.2201797,0.0003083074,0.0003196542,0.07748023,0.6901256,0.00007343945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03943618,0.01238494,0.000969157,0.8919652,0.005049605,0.00002379911,0.0001770401,0.00003930626,0.04995467],"genre_scores_gemma":[0.6737147,0.02480732,0.001742031,0.2730398,0.003288737,0.00009652955,0.0002773646,0.0001267675,0.02290684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0261544,"threshold_uncertainty_score":0.05200434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0391824331193646,"score_gpt":0.3185783654695941,"score_spread":0.2793959323502295,"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."}}