{"id":"W2922933079","doi":"10.1136/bmj.l920","title":"Data sharing practices of medicines related apps and the mobile ecosystem: traffic, content, and network analysis","year":2019,"lang":"en","type":"article","venue":"BMJ","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"World Wide Web; Computer science; Internet privacy; Android (operating system); Analytics; App store; mHealth; Psychological intervention; Data science; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004799419,0.0001062567,0.0005393788,0.00007938109,0.000421225,0.000007844311,0.0003356766,0.0001347447,0.0001879714],"category_scores_gemma":[0.0005729863,0.00006590228,0.00003065999,0.0004928302,0.00007908785,0.0001270024,0.0002940495,0.0003649092,0.00003607358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000166596,"about_ca_system_score_gemma":0.000171919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005504399,"about_ca_topic_score_gemma":0.001936615,"domain_scores_codex":[0.997556,0.0004883765,0.001023009,0.0004233855,0.0001694107,0.0003397576],"domain_scores_gemma":[0.9945994,0.002374926,0.001560806,0.001169504,0.0001176602,0.000177715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008922068,0.0001121875,0.8687049,0.005310231,0.001168037,0.000002063197,0.004241437,0.001144319,0.00003556722,0.02309963,0.07634241,0.01894697],"study_design_scores_gemma":[0.008848174,0.0001795605,0.1580439,0.001035016,0.002288389,0.00001744668,0.01784493,0.1768839,6.771976e-7,0.0004933863,0.6340498,0.000314728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561773,0.01109008,0.00009590686,0.01455718,0.0004883043,0.01170571,0.0001631209,0.00007549339,0.005646938],"genre_scores_gemma":[0.9909449,0.003760576,0.0002706333,0.001022558,0.0002733118,0.002528471,0.0001734211,0.00001476809,0.001011427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.710661,"threshold_uncertainty_score":0.3239765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1324005445269016,"score_gpt":0.466685020884655,"score_spread":0.3342844763577534,"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."}}