{"id":"W2136193836","doi":"10.1016/j.jtbi.2012.09.037","title":"Predicting the HIV/AIDS epidemic and measuring the effect of mobility in mainland China","year":2012,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Ottawa","funders":"Fundamental Research Funds for the Central Universities; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; National Natural Science Foundation of China","keywords":"Demography; Mainland China; Geographic mobility; Population; Residence; China; Transmission (telecommunications); Basic reproduction number; Medicine; Environmental health; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007864994,0.00007372412,0.0003292243,0.00007758653,0.00004813924,0.000004454689,0.0001434595,0.00007348995,0.0001379425],"category_scores_gemma":[0.007066081,0.00002830153,0.0001608489,0.00009736189,0.0009460562,0.00004237593,0.00007913168,0.0006073228,0.000002768666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002928448,"about_ca_system_score_gemma":0.00002039347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009395607,"about_ca_topic_score_gemma":0.000001218116,"domain_scores_codex":[0.99783,0.001283318,0.0004361568,0.0000644429,0.0001259125,0.0002601344],"domain_scores_gemma":[0.9975103,0.002037849,0.0001299792,0.0001483008,0.00004761771,0.0001259489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000697013,0.00007966013,0.9600677,0.00007326089,0.0000889393,0.000002835747,0.0002940638,0.00000107953,0.005951243,0.02552683,0.0001780446,0.007039327],"study_design_scores_gemma":[0.004847669,0.0234344,0.9102827,0.001064218,0.0003969074,0.001784814,0.0007858893,0.002797986,0.01655928,0.0371452,0.0007525396,0.0001483416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932862,0.001741799,0.000687706,0.002270631,0.00005622853,0.0001854066,0.000005206798,0.000002175244,0.001764652],"genre_scores_gemma":[0.9995495,0.00009345407,0.00008506589,0.00002728554,0.0001941273,0.000004036955,6.902738e-7,0.000004467492,0.00004134101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04978495,"threshold_uncertainty_score":0.8459269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128882069752967,"score_gpt":0.326510158583837,"score_spread":0.3136219516085403,"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."}}