{"id":"W4376640558","doi":"10.1002/agr.21819","title":"Communication in times of crisis: Information flow among Chinese hog producers during the African swine fever outbreak","year":2023,"lang":"en","type":"article","venue":"Agribusiness","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genome Canada","keywords":"Outbreak; China; Face (sociological concept); Business; Probit model; Phone; Social media; Coronavirus disease 2019 (COVID-19); Ordered probit; Socioeconomics; Disease; Geography; Economics; Biology; Political science; Virology; Sociology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003936529,0.00009059579,0.0001441208,0.00003215854,0.0001224078,0.00002328108,0.0002877957,0.00004116479,0.0001213993],"category_scores_gemma":[0.0001508042,0.00002953008,0.00004513252,0.001091079,0.00006099648,0.0003867824,0.0001907724,0.00006496322,0.00004656974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001469692,"about_ca_system_score_gemma":0.000002946152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365425,"about_ca_topic_score_gemma":0.000830519,"domain_scores_codex":[0.9992689,0.00009030657,0.0002514751,0.0001072427,0.0001086651,0.0001733456],"domain_scores_gemma":[0.9995899,0.0001006069,0.0001217677,0.00009761374,0.00006728116,0.00002285337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001086854,0.00007901747,0.9747546,0.00008968401,0.0000323665,0.000001843425,0.0009752551,0.002145098,0.001719066,0.0003495001,0.009324801,0.0104201],"study_design_scores_gemma":[0.00008905818,0.000009433315,0.9956743,0.00001620565,0.000006971748,2.225254e-7,0.001064684,0.001375216,0.00002043368,0.0003785027,0.001292018,0.00007296001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907607,0.00003727235,0.000001043751,0.008003407,0.00004104672,0.0002155544,0.00001543457,0.00006125964,0.000864248],"genre_scores_gemma":[0.9993258,0.00007358907,0.000008350819,0.0001284574,0.0000542355,0.00003446558,0.0002555964,6.203299e-7,0.0001188757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02091971,"threshold_uncertainty_score":0.2064124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108391165786791,"score_gpt":0.2178416064905005,"score_spread":0.2067576948326326,"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."}}