{"id":"W3039826535","doi":"10.1080/07373937.2020.1786981","title":"Climate change and pandemics: New challenges for science and technology","year":2020,"lang":"en","type":"article","venue":"Drying Technology","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Climate change; Pandemic; Global warming; Coronavirus disease 2019 (COVID-19); Political science; Natural resource economics; Environmental planning; Environmental science; Environmental resource management; Economics; Ecology; Medicine","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":[0.0004965137,0.0001500771,0.0002162121,0.0002102238,0.0002403187,0.00002396294,0.0004397183,0.0002371232,0.00001585995],"category_scores_gemma":[0.001352235,0.0001473258,0.00001321861,0.0009320946,0.001583168,0.0002204987,0.001167501,0.0001976237,0.0000228515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001054873,"about_ca_system_score_gemma":0.0000302154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004274541,"about_ca_topic_score_gemma":0.00005329858,"domain_scores_codex":[0.9985018,0.00001081771,0.0001666487,0.0006331398,0.0001692245,0.0005183077],"domain_scores_gemma":[0.9993475,0.00007425971,0.00008581657,0.000300556,0.00001805447,0.0001738203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002336172,0.0000195108,0.07323454,0.00006806512,0.000005181748,0.00000479305,0.00121597,5.682525e-7,0.04513789,0.02483827,0.0002171786,0.8552347],"study_design_scores_gemma":[0.00665646,0.003643322,0.09478604,0.0002327234,0.000142487,0.0002879641,0.007321947,0.01701835,0.08122799,0.3786649,0.4072333,0.002784511],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6955808,0.001568249,0.0007062184,0.3001306,0.000065698,0.0007040104,0.00001158691,0.0008757068,0.0003571178],"genre_scores_gemma":[0.9906441,0.001274158,0.005490801,0.002469516,0.00003535144,0.0000647919,4.540448e-7,0.00001587136,0.000004983433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8524502,"threshold_uncertainty_score":0.6007773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173791138431807,"score_gpt":0.327587955774364,"score_spread":0.2102088419311833,"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."}}