{"id":"W2793175118","doi":"10.1007/s10664-018-9604-y","title":"Studying the consistency of star ratings and the complaints in 1 &amp; 2-star user reviews for top free cross-platform Android and iOS apps","year":2018,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Android (operating system); Computer science; Mobile apps; World Wide Web; Revenue; Star (game theory); App store; Download; User experience design; Consistency (knowledge bases); Human–computer interaction; Operating system; Artificial intelligence","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":[0.04069731,0.0003382745,0.0008852299,0.007116667,0.001192311,0.002958268,0.0009759715,0.001058828,0.001478522],"category_scores_gemma":[0.3074795,0.0004041367,0.001144424,0.00497898,0.00119161,0.003455763,0.003042175,0.001159065,0.0008200122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358869,"about_ca_system_score_gemma":0.001264213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002786704,"about_ca_topic_score_gemma":0.005467275,"domain_scores_codex":[0.9356899,0.01950147,0.01210895,0.005384644,0.02580597,0.001508994],"domain_scores_gemma":[0.4614106,0.2980591,0.08257044,0.01932023,0.1340982,0.00454148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001046254,0.0002039909,0.9281051,0.0008216083,0.0007929611,0.0001407747,0.01658005,0.0004384766,0.003065603,0.0006419973,0.005645695,0.0425175],"study_design_scores_gemma":[0.00002870785,0.0005506343,0.9839134,0.0001299955,0.0001952867,0.0002256902,0.006226279,0.00220957,0.001447543,0.0002466587,0.004747331,0.00007893956],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882799,0.000656519,0.00327581,0.0005360902,0.000163066,0.0002036015,0.001364306,0.0001277762,0.005392833],"genre_scores_gemma":[0.9942525,0.0001535917,0.001951582,0.0001938805,0.00008593826,0.0002087267,0.00167971,0.0000652227,0.001408745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04069731,"threshold_uncertainty_score":0.2152305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05466891975716319,"score_gpt":0.3230564069784375,"score_spread":0.2683874872212743,"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."}}