{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001517147,0.0006356387,0.001162685,0.00008361318,0.0003216977,0.0003103851,0.0006225792,0.0007804172,0.00363724],"category_scores_gemma":[0.00123005,0.0002620881,0.0002774533,0.001704333,0.0001197863,0.00009602169,0.0003353636,0.0005189595,0.0001885153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003657859,"about_ca_system_score_gemma":0.0009644718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004972999,"about_ca_topic_score_gemma":0.009149005,"domain_scores_codex":[0.9953629,0.000178979,0.001275257,0.001150053,0.00140218,0.0006306594],"domain_scores_gemma":[0.9966163,0.0004501106,0.0006656063,0.0003642673,0.001401762,0.000501975],"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":[0.000145601,0.0003899418,0.000579022,0.0007823543,0.0002737681,0.0001114539,0.0002286475,0.0000212454,0.01663904,0.00370737,0.974335,0.002786614],"study_design_scores_gemma":[0.0002612213,0.0005957432,0.001963221,0.0003028603,0.00006047798,0.00009372045,0.0006339751,0.00004086429,0.0002737214,0.0003344674,0.9947091,0.0007305815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4763125,0.01952106,0.0001794358,0.1251608,0.008902087,0.008604518,0.007593739,0.0007457432,0.35298],"genre_scores_gemma":[0.9002146,0.01206174,0.0007084699,0.005422987,0.003012275,0.0001931489,0.0100198,0.00003214097,0.06833491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.423902,"threshold_uncertainty_score":0.9999831,"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."}}