{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004867812,0.0003315612,0.0004342074,0.00001758057,0.0005598813,0.0001213192,0.002012578,0.0003854212,0.001309204],"category_scores_gemma":[0.0002836309,0.0001393094,0.000166565,0.0001486664,0.00009730138,0.0001858099,0.001180387,0.0002300558,0.005545323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006297835,"about_ca_system_score_gemma":0.000009089511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107812,"about_ca_topic_score_gemma":0.00340628,"domain_scores_codex":[0.9976159,0.0001147777,0.0003957568,0.001140677,0.0002461136,0.0004867446],"domain_scores_gemma":[0.9985136,0.0002538351,0.0002655475,0.0008069276,0.00003944755,0.0001206678],"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":[0.0001544925,0.00004821138,0.00002219828,0.00009585309,0.00006048639,0.000004519166,0.000003924088,7.988742e-7,0.00008604778,0.0002508497,0.9779475,0.02132515],"study_design_scores_gemma":[0.0001611855,0.00007054048,0.01830108,0.00001661095,0.0001515024,6.386676e-7,0.00009992299,0.0008392591,9.030136e-7,0.001011679,0.9790391,0.000307527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009092821,0.000002048752,0.000191603,0.0002118481,0.0003004991,0.0005405986,0.997709,0.0001242059,0.00001089257],"genre_scores_gemma":[0.000171084,0.0003969351,0.00004846216,0.0004162223,0.0006669807,0.0000533018,0.9980068,0.000003552446,0.0002367055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02101762,"threshold_uncertainty_score":0.9996037,"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."}}