{"id":"W4392063611","doi":"10.1017/9781788216258.027","title":"Animals, pandemics and climate change","year":2023,"lang":"en","type":"other","venue":"","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Climate change; Geography; Coronavirus disease 2019 (COVID-19); Climatology; Biology; Ecology; Geology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002893131,0.0004534633,0.000306584,0.0009394416,0.004122034,0.005246657,0.0005788499,0.005500631,0.01324935],"category_scores_gemma":[0.003971262,0.000180832,0.0004032218,0.001075725,0.008787549,0.006449758,0.00408427,0.004919496,0.001266449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002761408,"about_ca_system_score_gemma":0.00326563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009779341,"about_ca_topic_score_gemma":0.01040417,"domain_scores_codex":[0.9984683,0.0008454488,0.0000426293,0.0001296441,0.0002441624,0.0002698622],"domain_scores_gemma":[0.9982687,0.0006891736,0.0002568164,0.00008683072,0.0002357055,0.0004627327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008446084,0.00007916011,0.00809931,0.0005933652,0.00007281492,0.0008766291,0.01686279,0.0008989862,0.0003796184,0.3950261,0.4807581,0.0962687],"study_design_scores_gemma":[0.00001174954,0.00004104099,0.003310432,0.0005022481,0.00001214814,0.0003351149,0.01178936,0.0001516076,0.00006026925,0.0837824,0.8999795,0.00002409465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01139246,0.1060234,0.001058897,0.7198315,0.01162915,0.00002575578,0.0003004949,0.00008226912,0.1496561],"genre_scores_gemma":[0.4608957,0.1788338,0.002301255,0.2789773,0.01454829,0.0001264709,0.000480289,0.00009744588,0.06373952],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01324935,"threshold_uncertainty_score":0.04432344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07439619493874439,"score_gpt":0.3343650256078926,"score_spread":0.2599688306691482,"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."}}