{"id":"W4245312658","doi":"10.21061/aaec-245np","title":"Impacts of COVID-19 on U.S. tilapia farms: Quarter 1 Results March 23, 2020 to April 10, 2020","year":2021,"lang":"en","type":"report","venue":"","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Tilapia; Geography; Biology; Fishery; Virology; Fish <Actinopterygii>; Medicine; Outbreak; Internal medicine; Archaeology; Infectious disease (medical specialty)","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":[0.002026396,0.0005444631,0.0003500174,0.001056651,0.0003689282,0.001436005,0.0004900678,0.0006448611,0.011928],"category_scores_gemma":[0.004105145,0.0001978063,0.0006502793,0.0011486,0.0001771176,0.0006873679,0.00104971,0.0008067575,0.002392051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003248221,"about_ca_system_score_gemma":0.004266233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2186329,"about_ca_topic_score_gemma":0.2113972,"domain_scores_codex":[0.9990466,0.0001293605,0.00002908423,0.00005910963,0.0004633336,0.0002725653],"domain_scores_gemma":[0.9975052,0.0003711253,0.0004090182,0.00006252534,0.001350799,0.0003011989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001454008,0.0006390808,0.194795,0.000580398,0.0003082977,0.0003251685,0.000202959,0.03332275,0.000573226,0.003374319,0.6986067,0.06581806],"study_design_scores_gemma":[0.0002613513,0.0006574602,0.8452023,0.0002909565,0.0002130977,0.00009009563,0.002638348,0.01759494,0.001543489,0.002254667,0.1291927,0.00006049311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3451684,0.001990674,0.00162623,0.01005556,0.0004037903,0.0006150071,0.5475382,0.0005719661,0.09203025],"genre_scores_gemma":[0.5273725,0.00257539,0.00164337,0.002468091,0.0001885575,0.000673713,0.3747654,0.0001302946,0.09018267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2186329,"threshold_uncertainty_score":0.4347206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08352853650495576,"score_gpt":0.3279963575935299,"score_spread":0.2444678210885741,"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."}}