{"id":"W3003455339","doi":"10.1080/09540121.2020.1719279","title":"Social media use as a predictor of higher body mass index in persons living with HIV","year":2020,"lang":"en","type":"article","venue":"AIDS Care","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of Nursing Research","keywords":"Body mass index; Overweight; Social media; Demography; Descriptive statistics; Mass media; Gerontology; Medicine; Obesity; Regression analysis; Psychology; Advertising; Sociology; Statistics; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005472886,0.0001736163,0.0001674193,0.0008086032,0.0005519852,0.0007311615,0.0002694316,0.0004729633,0.002623977],"category_scores_gemma":[0.002765417,0.0002415552,0.0003238206,0.0008433922,0.0002489495,0.0004254948,0.0005370273,0.001022064,0.0002181239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001488782,"about_ca_system_score_gemma":0.0002262481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005894717,"about_ca_topic_score_gemma":0.009719766,"domain_scores_codex":[0.999736,0.0001054018,0.0000277279,0.0000300469,0.00005363135,0.00004715595],"domain_scores_gemma":[0.9982373,0.0004919131,0.0007934105,0.00006385951,0.0001320347,0.000281528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003635537,0.00005836316,0.9987718,0.000008273804,0.00001661844,0.00003095573,0.00007454439,0.00001065049,0.00004215644,0.00000685757,0.00006720756,0.0008762355],"study_design_scores_gemma":[0.000002990827,0.0000673213,0.9990588,0.00001427121,0.00001787081,0.00009666986,0.0004535006,0.0001579559,0.00002535822,0.00001396624,0.0000892864,0.000001942649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985661,0.0003408115,0.00002746339,0.0001275676,0.00001139686,0.000009955093,0.0001563403,0.000002540364,0.0007577738],"genre_scores_gemma":[0.9994515,0.0001498554,0.00004683628,0.00004800759,0.00002232401,0.000007861998,0.00007982177,0.000001041115,0.000192935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005894717,"threshold_uncertainty_score":0.01172084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04344360174455412,"score_gpt":0.3757533711498914,"score_spread":0.3323097694053373,"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."}}