{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001533044,0.0001479518,0.0003420199,0.00009694705,0.0003288653,0.000005054157,0.0001664657,0.0002478505,0.0005298349],"category_scores_gemma":[0.0003048107,0.0001310255,0.00004611171,0.0004842927,0.00006398158,0.0001111947,0.00006582225,0.0006815577,0.00007786178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582498,"about_ca_system_score_gemma":0.0009604343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004048626,"about_ca_topic_score_gemma":0.0007676206,"domain_scores_codex":[0.9980739,0.0002779747,0.0004975141,0.000312866,0.0002963673,0.0005413931],"domain_scores_gemma":[0.9981924,0.0007948635,0.0002231934,0.0002125168,0.0001489378,0.0004281184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001033197,0.00003322323,0.9374021,0.001009469,0.00001168791,0.000004408554,0.04032248,0.000002135275,0.00005566211,0.003782553,0.0164618,0.0008111986],"study_design_scores_gemma":[0.001661731,0.0002192615,0.8830619,0.0004407511,0.00003626709,3.57019e-7,0.03089711,0.00006583229,0.000005785238,0.00007187455,0.08335602,0.0001831001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795566,0.0004910871,0.0002296673,0.007511538,0.000313487,0.003453431,0.0006084019,0.0002287374,0.007607042],"genre_scores_gemma":[0.9932693,0.00003551748,0.0004829686,0.003194799,0.0005375066,0.001994849,0.00009469123,0.0000390739,0.0003513213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06689423,"threshold_uncertainty_score":0.5801321,"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."}}