{"id":"W3164429482","doi":"10.21061/aaec-246np","title":"Impacts of COVID-19 on U.S. aquaculture, aquaponics, and allied businesses: Quarter 1 - March 23, 2020 to April 10, 2020","year":2021,"lang":"en","type":"report","venue":"","topic":"Innovations in Aquaponics and Hydroponics Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Aquaponics; Coronavirus disease 2019 (COVID-19); Fishery; Aquaculture; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Fish <Actinopterygii>; Geography; Biology; Medicine; Virology; Archaeology; Outbreak; Infectious disease (medical specialty); Internal 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":[0.001191822,0.00055752,0.0001982889,0.0008736381,0.0008276235,0.002094486,0.0003522446,0.0006760854,0.008687451],"category_scores_gemma":[0.002631792,0.000180783,0.0004811608,0.001242238,0.0002032812,0.0007973303,0.00158635,0.0006491334,0.002546494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003640068,"about_ca_system_score_gemma":0.00466472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1555709,"about_ca_topic_score_gemma":0.2515226,"domain_scores_codex":[0.9984659,0.0001275079,0.00005356326,0.00006884805,0.0008926087,0.0003916073],"domain_scores_gemma":[0.9973161,0.0002297256,0.0005766643,0.00004849676,0.001371822,0.0004571903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004086963,0.0004585728,0.6895173,0.0004244508,0.00010606,0.0007174191,0.0005181257,0.003902242,0.002059532,0.0008230665,0.207951,0.09311346],"study_design_scores_gemma":[0.0000126011,0.00021724,0.9158609,0.0001501338,0.00003424973,0.0001691304,0.0029509,0.001383486,0.001757768,0.000173538,0.07726818,0.00002197307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6605932,0.003780793,0.0008889433,0.01211608,0.0009402661,0.0003962995,0.1790338,0.0004879818,0.1417628],"genre_scores_gemma":[0.7708645,0.007682217,0.002355392,0.004671088,0.0002724019,0.0003627872,0.1289562,0.00009605152,0.08473931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1555709,"threshold_uncertainty_score":0.3093308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04347834161827496,"score_gpt":0.3059996058575404,"score_spread":0.2625212642392654,"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."}}