{"id":"W3159290621","doi":"10.2196/26262","title":"Mobile Apps for Drug–Drug Interaction Checks in Chinese App Stores: Systematic Review and Content Analysis","year":2021,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug; mHealth; Mobile apps; Mobile device; Computer science; Internet privacy; World Wide Web; Multimedia; Medicine; Pharmacology; Psychological intervention; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01213231,0.001548007,0.007143483,0.02350958,0.001244418,0.002196977,0.00214771,0.001139495,0.003938363],"category_scores_gemma":[0.04160943,0.0009055561,0.0063061,0.01936763,0.001144816,0.003265566,0.002359024,0.0008360608,0.0002585778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004797388,"about_ca_system_score_gemma":0.01979676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009272586,"about_ca_topic_score_gemma":0.0261375,"domain_scores_codex":[0.990185,0.002455565,0.004010421,0.000643546,0.002381929,0.0003235131],"domain_scores_gemma":[0.9662951,0.02246881,0.006135734,0.0005483481,0.004221712,0.0003301515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001836449,0.0000401725,0.003035728,0.9421245,0.004166784,0.0001632844,0.001170551,0.00010291,0.0002449529,0.0002435537,0.001343754,0.04718021],"study_design_scores_gemma":[0.0004846267,0.0004713685,0.02331389,0.8711621,0.08266685,0.0005249261,0.002175161,0.0004562484,0.0004818171,0.0005426841,0.01760756,0.0001127394],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02661296,0.95213,0.00197665,0.001113801,0.0002358387,0.01137131,0.004635924,0.00008646748,0.001837083],"genre_scores_gemma":[0.1216947,0.8482811,0.006181778,0.001402084,0.0001633296,0.01932404,0.002321463,0.0000288465,0.0006027757],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02350958,"threshold_uncertainty_score":0.06416249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1434460626196982,"score_gpt":0.5298091500240223,"score_spread":0.3863630874043241,"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."}}