{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003355164,0.0003580611,0.000388406,0.004180092,0.0005718959,0.002230064,0.0005555914,0.0006468394,0.001038319],"category_scores_gemma":[0.02423856,0.000271004,0.0004068045,0.00316919,0.0005286061,0.003990203,0.001314356,0.0004348763,0.0004051053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380266,"about_ca_system_score_gemma":0.0007518833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007089511,"about_ca_topic_score_gemma":0.005371457,"domain_scores_codex":[0.9967709,0.001412906,0.0002783493,0.0005142342,0.0007563141,0.0002673405],"domain_scores_gemma":[0.9704367,0.01694267,0.00533835,0.00157021,0.005160422,0.0005514987],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004369123,0.0001765782,0.9456943,0.0001863865,0.0001261781,0.0002772145,0.004524134,0.002776315,0.002475467,0.001325553,0.0006807686,0.04132008],"study_design_scores_gemma":[0.00001491456,0.0003975558,0.88623,0.000142534,0.0001400404,0.001039383,0.008061472,0.09446443,0.003658855,0.002069976,0.003704269,0.00007656248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953395,0.00009382307,0.002438508,0.0001182676,0.000003575324,0.0001054423,0.0006247444,0.00005639193,0.001219704],"genre_scores_gemma":[0.9967569,0.00008260251,0.002085774,0.00001734636,0.000007160964,0.00007127549,0.0006456055,0.00001605957,0.0003173743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9966449,"threshold_uncertainty_score":0.017744,"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."}}