{"id":"W3003520276","doi":"10.2196/17085","title":"Analysis of Secure Apps for Daily Clinical Use by German Orthopedic Surgeons: Searching for the \"Needle in a Haystack\"","year":2020,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität des Saarlandes; Deutsche Forschungsgemeinschaft","keywords":"App store; Internet privacy; Checklist; Quality (philosophy); Mobile apps; Certification; German; Medicine; Computer science; World Wide Web; Medical education; Psychology","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":[0.01818723,0.0005652606,0.0008692916,0.01028578,0.0008088655,0.00266009,0.0006207429,0.0006795792,0.002146409],"category_scores_gemma":[0.108975,0.0005147853,0.001510115,0.004897491,0.001134571,0.002535761,0.00277952,0.000686992,0.0005050948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034784,"about_ca_system_score_gemma":0.004245919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963433,"about_ca_topic_score_gemma":0.003697168,"domain_scores_codex":[0.9813913,0.005741489,0.005051056,0.001248346,0.006027367,0.0005403631],"domain_scores_gemma":[0.8053799,0.1402504,0.0306829,0.005252367,0.01721318,0.001221236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001575172,0.0003396358,0.5400221,0.04079375,0.001183047,0.001950414,0.03482058,0.0004219779,0.002717145,0.001891156,0.004088991,0.370196],"study_design_scores_gemma":[0.000186092,0.001426573,0.8884759,0.03062525,0.003821452,0.003339549,0.03185645,0.002124405,0.00430801,0.001600638,0.03200768,0.0002279903],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9655783,0.01903911,0.003792864,0.0008199562,0.00009201509,0.001950354,0.004154603,0.00006756667,0.004505286],"genre_scores_gemma":[0.9797311,0.009879539,0.006000962,0.0002774495,0.00005324114,0.001443276,0.002046576,0.00004102728,0.000526705],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01818723,"threshold_uncertainty_score":0.09618449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2897331305359025,"score_gpt":0.5957183243373484,"score_spread":0.3059851938014459,"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."}}