{"id":"W6968610045","doi":"10.5281/zenodo.3748767","title":"Order in Chaos: Prioritizing Mobile App Reviews using Consensus Algorithms","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Consensus algorithm; Order (exchange); Mobile apps; Replication (statistics); Mobile device","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":[0.01256225,0.001844021,0.003218041,0.003846541,0.00194263,0.003305536,0.00277185,0.002241866,0.007582364],"category_scores_gemma":[0.0550036,0.001449224,0.00214665,0.002665146,0.00125919,0.003924646,0.003750131,0.002311081,0.002268048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816837,"about_ca_system_score_gemma":0.006420365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00598529,"about_ca_topic_score_gemma":0.006330793,"domain_scores_codex":[0.9905006,0.004384068,0.0007189682,0.001410437,0.002424274,0.0005616439],"domain_scores_gemma":[0.953628,0.03107262,0.001939709,0.003553107,0.008495059,0.001311387],"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":[0.0009765275,0.0003394802,0.004306952,0.0006903036,0.0005295316,0.0002715883,0.001377084,0.3810066,0.008027235,0.05709215,0.01783054,0.527552],"study_design_scores_gemma":[0.0001548865,0.0002185969,0.0003156504,0.00004734307,0.00008132405,0.00005481871,0.000190662,0.9195787,0.003289287,0.07202088,0.003998158,0.00004975233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00822959,0.000155842,0.987812,0.0003627331,0.00009505828,0.0004546607,0.0001258602,0.001326209,0.001438008],"genre_scores_gemma":[0.1664565,0.0001580435,0.8262144,0.0002494818,0.0001595137,0.001192021,0.0004743757,0.0004939134,0.004601756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01256225,"threshold_uncertainty_score":0.06643629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09311180818327643,"score_gpt":0.290088839134663,"score_spread":0.1969770309513866,"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."}}