{"id":"W2916440498","doi":"10.3390/ijerph16040648","title":"Spatiotemporal Variation and Hotspot Detection of the Avian Influenza A(H7N9) Virus in China, 2013–2017","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Geography; Geographic information system; Spatial distribution; Cluster (spacecraft); Distribution (mathematics); Avian influenza virus; Quarter (Canadian coin); Disease control; Socioeconomics; Influenza A virus subtype H5N1; Environmental health; Demography; Cartography; Virus; Biology; Virology; Medicine; Remote sensing","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":[0.0006883207,0.0003237123,0.0003101722,0.001514205,0.0003786126,0.0004244302,0.0003561986,0.0002000255,0.0003826366],"category_scores_gemma":[0.0008186483,0.0001867776,0.0005509539,0.001712315,0.0002998369,0.0003843265,0.0004613479,0.0001551872,0.00008217493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090932,"about_ca_system_score_gemma":0.001226573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06669227,"about_ca_topic_score_gemma":0.09088178,"domain_scores_codex":[0.9995864,0.00004473629,0.00006883874,0.0001237507,0.00009381337,0.00008240718],"domain_scores_gemma":[0.9993562,0.00005265001,0.0002434287,0.00004457257,0.0001946178,0.0001085431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005635761,0.000009326285,0.9939248,0.00003891129,0.00008727156,0.00009031646,0.0002378351,0.0003643786,0.001014484,0.0000612143,0.0003418557,0.003773405],"study_design_scores_gemma":[0.000001833453,0.00001340726,0.9987354,0.000004682833,0.00001999914,0.00005444901,0.0001769621,0.0005377411,0.00009540118,0.00001390836,0.0003419026,0.000004267567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976621,0.0003137072,0.0001604843,0.00004167719,0.000009670661,0.000009977279,0.001458017,0.000007950107,0.0003364162],"genre_scores_gemma":[0.9975905,0.0001768442,0.0001278569,0.00001761533,0.00001380604,0.00001422973,0.001904459,0.000002282273,0.0001524247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06669227,"threshold_uncertainty_score":0.1326081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09075249819042308,"score_gpt":0.4150713762997701,"score_spread":0.3243188781093471,"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."}}