{"id":"W2909755202","doi":"10.1109/tse.2019.2893171","title":"Too Many User-Reviews! What Should App Developers Look at First?","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Polytechnique Montréal","keywords":"Key (lock); Computer science; Android (operating system); Mobile apps; World Wide Web; App store; Set (abstract data type); Android app; Star (game theory); Mobile device; Multimedia; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004216186,0.0004823671,0.0004625597,0.0004858371,0.0001974201,0.0003737604,0.001256321,0.0002118927,0.0002434342],"category_scores_gemma":[0.0001116936,0.0004961715,0.0002579628,0.001028124,0.00002651982,0.001623085,0.00002947656,0.0006960617,0.002399477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005964189,"about_ca_system_score_gemma":0.00007609196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001302597,"about_ca_topic_score_gemma":0.000007579325,"domain_scores_codex":[0.9971682,0.00003295656,0.0004479049,0.0008292043,0.0006923667,0.0008294106],"domain_scores_gemma":[0.997315,0.0009132207,0.00005332939,0.001318632,0.00009370307,0.000306082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002439748,0.0001493562,0.001328922,0.0006304205,0.0001702698,0.00006622896,0.001046216,0.9350082,0.001111367,0.0002273374,0.00322923,0.05700805],"study_design_scores_gemma":[0.002911871,0.0005793443,0.008008819,0.002571838,0.00008570887,0.0003486542,0.00009284305,0.2120971,0.06592087,0.00001961646,0.7030393,0.004323965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02459891,0.00100666,0.9680219,0.0002323335,0.003428388,0.0006558268,0.000005854711,0.0020368,0.0000132915],"genre_scores_gemma":[0.6482396,0.002796101,0.3317512,0.0009950144,0.0002286344,0.0008303535,0.00001071299,0.0003822137,0.01476621],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7229111,"threshold_uncertainty_score":0.999749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387174681443964,"score_gpt":0.2479435287887195,"score_spread":0.2240717819742799,"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."}}