{"id":"W2978699951","doi":"10.48550/arxiv.1910.02452","title":"Can we rely on smartphone applications?","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Android (operating system); Computer science; Weibull distribution; Reliability (semiconductor); Mobile device; Smartphone application; Software; Software quality; Reliability engineering; World Wide Web; Multimedia; Engineering; Operating system; Software development","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002439535,0.000690476,0.0005670392,0.001311276,0.001127493,0.004383138,0.001409239,0.003345235,0.01575481],"category_scores_gemma":[0.02885043,0.000458096,0.0005662501,0.001380595,0.002355208,0.01605814,0.002501491,0.002662213,0.009223159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007398066,"about_ca_system_score_gemma":0.001068085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00608027,"about_ca_topic_score_gemma":0.006408039,"domain_scores_codex":[0.9978564,0.0005407814,0.00008878384,0.0003350564,0.0008865368,0.0002923611],"domain_scores_gemma":[0.9884754,0.004605145,0.001003162,0.001809568,0.003128553,0.0009781902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002382432,0.0001324584,0.05160873,0.001261847,0.0001584132,0.002106916,0.006043953,0.002206363,0.0025761,0.1719825,0.1856999,0.5759847],"study_design_scores_gemma":[0.00002546823,0.0002413197,0.03407597,0.001823477,0.0001483307,0.004853669,0.01128795,0.008331547,0.002397064,0.264128,0.6724927,0.0001944358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1796861,0.08334906,0.07784443,0.3420171,0.007019348,0.0002491412,0.002887652,0.002414451,0.3045328],"genre_scores_gemma":[0.8488843,0.04778902,0.0123972,0.02517743,0.002467692,0.0001679977,0.001215287,0.0005497437,0.06135118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01575481,"threshold_uncertainty_score":0.05270511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07682296760132028,"score_gpt":0.2115360905432773,"score_spread":0.134713122941957,"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."}}