{"id":"W4399615971","doi":"10.54097/j9gthe66","title":"Analysis of AIDS Transmission Based on ARIMA Model","year":2024,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Autoregressive integrated moving average; Econometrics; Model selection; Computer science; Bayesian information criterion; Time series; Bayesian probability; Epidemic model; Information Criteria; Statistics; Infectious disease (medical specialty); Data mining; Transmission (telecommunications); Artificial intelligence; Machine learning; Disease; Mathematics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0006609459,0.0001057126,0.0003213879,0.001924634,0.00004499129,0.00001019607,0.0002045814,0.0001064245,0.000003140827],"category_scores_gemma":[0.0007537728,0.00007069941,0.00004556578,0.004015349,0.0002756146,0.00004260339,0.00005074861,0.0001481157,0.000001654463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000596239,"about_ca_system_score_gemma":0.00003235185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006696303,"about_ca_topic_score_gemma":0.000002302614,"domain_scores_codex":[0.9990522,0.000007324684,0.0002266142,0.0003409127,0.0001612278,0.0002117146],"domain_scores_gemma":[0.9990352,0.0006754869,0.00002151514,0.0002105262,0.00002472615,0.00003247729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003364814,0.0000378313,0.000535579,0.00007636234,0.00003246842,0.000009219563,0.00009691803,0.1754621,0.01053648,0.8103261,0.00001852478,0.002865043],"study_design_scores_gemma":[0.00005749458,0.00006411992,0.0004925862,0.00008987547,0.00005727906,3.513394e-7,0.000007405451,0.9672668,0.003963262,0.02732602,0.0005919982,0.00008277994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6757191,0.0004320704,0.3188153,0.004040499,0.000082677,0.0001128315,0.000005830877,0.00051345,0.0002781967],"genre_scores_gemma":[0.97302,0.00006550695,0.0268645,0.00001633942,0.000003849004,0.00001185606,2.294974e-7,0.000004849021,0.00001293048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7918047,"threshold_uncertainty_score":0.2883038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06260319333168955,"score_gpt":0.3504856413928306,"score_spread":0.287882448061141,"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."}}