{"id":"W3165135833","doi":"10.21061/aaec-244np","title":"Impacts of COVID-19 on U.S. trout foodfish businesses: Quarter 1 Results March 23, 2020 to April 10, 2020","year":2021,"lang":"en","type":"report","venue":"","topic":"Halal products and consumer behavior","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Trout; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Fishery; Biology; Fish <Actinopterygii>; Virology; Medicine; Internal medicine; Archaeology; Outbreak","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":[0.002980027,0.0004869975,0.0002732458,0.001764405,0.0006984021,0.001673009,0.0004453326,0.0004963775,0.00859594],"category_scores_gemma":[0.004270434,0.0002426397,0.0008635456,0.001629514,0.0001772912,0.0007032768,0.001273962,0.0007310493,0.002733967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002503039,"about_ca_system_score_gemma":0.003501861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.154174,"about_ca_topic_score_gemma":0.2109489,"domain_scores_codex":[0.9985033,0.0002344012,0.0000652473,0.00009231334,0.0007644907,0.0003401671],"domain_scores_gemma":[0.9952899,0.0005717796,0.0007018225,0.000123059,0.002612715,0.0007007344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007971405,0.00118731,0.7779731,0.0003611223,0.0001937877,0.0001780699,0.0009589946,0.003098815,0.0006612054,0.0005670541,0.1462191,0.06780439],"study_design_scores_gemma":[0.00002080446,0.0003277748,0.977547,0.00007069521,0.00005492229,0.00003271943,0.003653427,0.001026979,0.0006309227,0.00007775865,0.01654089,0.00001607845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7685154,0.001109602,0.0006539211,0.003528367,0.0001692377,0.0004059133,0.1615358,0.0002785372,0.06380321],"genre_scores_gemma":[0.7350106,0.001804356,0.001563294,0.001402458,0.0001065345,0.0006909991,0.1886114,0.0001022079,0.07070806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.154174,"threshold_uncertainty_score":0.3065532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08053738998989031,"score_gpt":0.389769109383266,"score_spread":0.3092317193933757,"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."}}