{"id":"W4380520359","doi":"10.1109/tse.2023.3285743","title":"STRE: An Automated Approach to Suggesting App Developers When to Stop Reading Reviews","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fundo para o Desenvolvimento das Ciências e da Tecnologia; China Postdoctoral Science Foundation","keywords":"Computer science; Reading (process); Upload; Categorization; World Wide Web; Complement (music); Data science; 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":[0.003493538,0.003418645,0.001769372,0.009945918,0.001039004,0.002263518,0.002662731,0.001780393,0.004945308],"category_scores_gemma":[0.02497909,0.0009846794,0.0009640992,0.003004811,0.0004428549,0.00274939,0.001537921,0.001581949,0.007622061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009383641,"about_ca_system_score_gemma":0.003422146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009737097,"about_ca_topic_score_gemma":0.03025367,"domain_scores_codex":[0.9941362,0.001348548,0.0007134914,0.001668851,0.001903344,0.000229483],"domain_scores_gemma":[0.9691749,0.01221071,0.005215107,0.001949027,0.01037091,0.001079271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009520223,0.0007526611,0.02157261,0.00208915,0.0002555669,0.0007460015,0.001987172,0.003665518,0.02394955,0.001049125,0.114432,0.8285486],"study_design_scores_gemma":[0.0008776336,0.0029003,0.06358805,0.000899997,0.001106898,0.003159025,0.003284667,0.5872862,0.06736445,0.00677787,0.261882,0.0008730623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1401051,0.007793791,0.5042042,0.003042444,0.001821982,0.005065976,0.01934157,0.3025094,0.01611552],"genre_scores_gemma":[0.2518417,0.001236503,0.7072368,0.00101526,0.0005985876,0.001241394,0.01579296,0.002669912,0.01836693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009945918,"threshold_uncertainty_score":0.01936084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03949344976735494,"score_gpt":0.2921104368037568,"score_spread":0.2526169870364019,"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."}}