{"id":"W4286615985","doi":"10.1016/s2666-5247(22)00198-7","title":"Spillover infection of common animal coronaviruses to humans","year":2022,"lang":"en","type":"letter","venue":"The Lancet Microbe","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Spillover effect; Virology; Coronavirus Infections; Coronavirus; Biology; Geography; Medicine; Outbreak; Economics; Infectious disease (medical specialty); Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000480997,0.000214543,0.0002869722,0.0008156329,0.0003607886,0.0008437298,0.000176424,0.0003803221,0.004130185],"category_scores_gemma":[0.001151839,0.0001359677,0.0004066781,0.0006232042,0.0001847872,0.0004671479,0.0008252281,0.0003661905,0.000615549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002561735,"about_ca_system_score_gemma":0.0004567496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00395711,"about_ca_topic_score_gemma":0.003293305,"domain_scores_codex":[0.9996508,0.0001220702,0.0000296859,0.00006968756,0.00007216795,0.00005549765],"domain_scores_gemma":[0.9995843,0.00009800166,0.000116994,0.00006170639,0.00008974633,0.00004931716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000749554,0.0001583139,0.6697697,0.003504828,0.0009478111,0.01316612,0.004113955,0.0002219829,0.0129042,0.002236625,0.01598305,0.2762438],"study_design_scores_gemma":[0.0001045067,0.0009658729,0.8015694,0.005834127,0.0009381814,0.02655389,0.007420851,0.0006237531,0.004336326,0.003235944,0.1483388,0.000078316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"editorial","genre_scores_codex":[0.8546211,0.07456183,0.002470462,0.002151552,0.0005408251,0.0002242989,0.004427873,0.0001899639,0.06081212],"genre_scores_gemma":[0.9623474,0.03103199,0.001065945,0.0009019446,0.0002271014,0.00005304297,0.002332479,0.00001641096,0.002023723],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.004130185,"threshold_uncertainty_score":0.01381683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07146715314070283,"score_gpt":0.2816107677646197,"score_spread":0.2101436146239169,"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."}}