{"id":"W3207857195","doi":"","title":"Impacts of COVID-19 on U.S. molluskbusinesses: Quarter 1 ResultsMarch 23, 2020 to April 10, 2020","year":2021,"lang":"en","type":"article","venue":"VTechWorks (Virginia Tech)","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Quarter (Canadian coin); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Pandemic; Virology; Geography; Medicine; Outbreak; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004396063,0.000395115,0.0005029999,0.00008174573,0.0002442895,0.00006220832,0.0005699515,0.0002170471,0.006743409],"category_scores_gemma":[0.001213796,0.0003305372,0.0002031731,0.001858367,0.0002315869,0.0001522474,0.000923301,0.0003693931,0.002137888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347893,"about_ca_system_score_gemma":0.00009496096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000469975,"about_ca_topic_score_gemma":0.0009281547,"domain_scores_codex":[0.9971734,0.0001078297,0.0005362271,0.0008576205,0.000735921,0.0005890099],"domain_scores_gemma":[0.9982232,0.0002054064,0.0001718665,0.0008918024,0.00006216376,0.0004455908],"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":[0.0004366133,0.000409046,0.01162782,0.0001237122,0.00009254891,0.0002750057,0.001352778,0.0009252271,0.0295979,0.0003043461,0.9483995,0.006455463],"study_design_scores_gemma":[0.001335101,0.000467714,0.04321655,0.0001441578,0.00006368987,0.00004110829,0.0009224407,0.00007397134,0.0111332,0.001032074,0.940788,0.0007820404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5929055,0.001089743,0.00454805,0.1486101,0.001170687,0.00246997,0.0004409434,0.0009979706,0.2477671],"genre_scores_gemma":[0.9837306,0.0003084826,0.002755576,0.003814077,0.0002432781,0.00006030974,0.00007695321,0.00005201242,0.008958776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3908251,"threshold_uncertainty_score":0.9999146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204050259242054,"score_gpt":0.2710069074663351,"score_spread":0.2589664048739145,"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."}}