{"id":"W3192883377","doi":"10.2139/ssrn.3612033","title":"Impact of the COVID-19 Pandemic on HIV Care Continuum in Jiangsu, China","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"HIV/AIDS Research and Interventions","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Medicine; China; Coronavirus disease 2019 (COVID-19); Population; Demography; Public health; Health care; Quarter (Canadian coin); Family medicine; Environmental health; Geography; Economic growth; Nursing; Infectious disease (medical specialty); Disease; Internal medicine","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":[0.0008607641,0.0002872756,0.0003540949,0.001028783,0.002721009,0.00177256,0.00104548,0.0009327884,0.002400328],"category_scores_gemma":[0.001966029,0.0002965927,0.0004207388,0.00177351,0.001266145,0.0008845608,0.003237746,0.001049495,0.0001170713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00987411,"about_ca_system_score_gemma":0.02707675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4099347,"about_ca_topic_score_gemma":0.571812,"domain_scores_codex":[0.9985484,0.000264958,0.00008699133,0.000105213,0.0001586576,0.0008357186],"domain_scores_gemma":[0.9980659,0.0001011784,0.0004118981,0.00004373211,0.0002172625,0.001160074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001475627,0.0003160283,0.9830632,0.00006190837,0.0000660399,0.001153667,0.002036151,0.0004230088,0.0002986451,0.000932204,0.001765604,0.009736005],"study_design_scores_gemma":[0.00002375112,0.00008542322,0.9908296,0.00003966095,0.00002486301,0.0001099532,0.006886271,0.0007249938,0.00004337402,0.0001644299,0.001054873,0.00001279113],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996797,0.0002572321,0.0000273666,0.001839144,0.00003029839,0.00002289174,0.0001600051,0.00000617229,0.0008598283],"genre_scores_gemma":[0.9987099,0.0001570111,0.00004062745,0.0004430668,0.00001557777,0.00001659469,0.0001948302,0.00000170605,0.0004206612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4099347,"threshold_uncertainty_score":0.8150972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02426296241827784,"score_gpt":0.3595376025458067,"score_spread":0.3352746401275289,"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."}}