{"id":"W3046447243","doi":"","title":"Separating Treasure from Trash: Quantifying Data Waste in App Reviews.","year":2020,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Treasure; Computer science; Waste management; Data science; Engineering; Archaeology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003280414,0.00007659028,0.0003109856,0.00008933125,0.0001017137,0.0004692138,0.001333812,0.00005574249,5.223096e-7],"category_scores_gemma":[0.001879841,0.00005185193,0.0001247912,0.0005201893,0.000002820858,0.003915119,0.0001329118,0.0001597012,0.00001885694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001346622,"about_ca_system_score_gemma":0.00007720591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003997646,"about_ca_topic_score_gemma":0.000009959425,"domain_scores_codex":[0.9979688,0.0002094327,0.001144926,0.00008265126,0.0004813625,0.0001128595],"domain_scores_gemma":[0.9963543,0.0002347682,0.002798763,0.0003422705,0.0002217657,0.00004808855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001162747,0.0001499392,0.1688459,0.001058411,0.001374955,0.000003191539,0.08860488,0.09047095,0.002070385,0.008177123,0.5327364,0.1063916],"study_design_scores_gemma":[0.0009268443,0.00003504797,0.001780173,0.0003824563,0.00007114808,0.000004442291,0.001874488,0.7483562,0.0001073395,0.00002524976,0.2462957,0.0001408837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04824617,0.002656332,0.9229704,0.01692212,0.004528165,0.001383187,0.00083312,0.0001135211,0.002347007],"genre_scores_gemma":[0.9953642,0.00005582519,0.003589695,0.0004518276,0.0003872625,0.000004920656,0.00007763055,0.000003908981,0.00006467169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9471181,"threshold_uncertainty_score":0.4524639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283249145353066,"score_gpt":0.3105887907497892,"score_spread":0.1822638762144825,"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."}}