{"id":"W4398361797","doi":"10.7910/dvn/ksopci","title":"Replication Data for: Rhinovirus transmission dynamics across different social structures","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"","keywords":"Rhinovirus; Replication (statistics); Transmission (telecommunications); Dynamics (music); Biology; Virology; Computer science; Evolutionary biology; Psychology; Telecommunications; Virus","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00335936,0.001161623,0.0008850772,0.002357136,0.00139874,0.002195196,0.002455261,0.001710754,0.1308014],"category_scores_gemma":[0.02463281,0.0006370258,0.001064932,0.004458358,0.0004733399,0.001628531,0.002106768,0.001923754,0.07988654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354761,"about_ca_system_score_gemma":0.003994378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0534771,"about_ca_topic_score_gemma":0.05637131,"domain_scores_codex":[0.9978138,0.0004624685,0.0003194191,0.0005284791,0.0005752858,0.0003006055],"domain_scores_gemma":[0.98856,0.002562258,0.001111572,0.003076799,0.004105914,0.0005835266],"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":[0.0001064002,0.00002826173,0.003367909,0.000295771,0.00003254857,0.00002712265,0.00007462582,0.0002006211,0.0001613913,0.0006330996,0.9914207,0.00365159],"study_design_scores_gemma":[0.0005788472,0.00005307631,0.02364096,0.0005037598,0.00006826242,0.00009539814,0.000463235,0.0007102533,0.0007468474,0.00141445,0.971653,0.00007185429],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000412836,0.00001875421,0.0001268337,0.0001356188,0.00007321385,0.00005626074,0.9977142,0.0001746876,0.001287603],"genre_scores_gemma":[0.002487078,0.00002919736,0.0007078658,0.00009930223,0.0000298964,0.0004525712,0.9935169,0.000132334,0.002544725],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1308014,"threshold_uncertainty_score":0.4375743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08477319665873996,"score_gpt":0.328301278723804,"score_spread":0.2435280820650641,"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."}}