{"id":"W2621107543","doi":"10.1109/icse-c.2017.77","title":"App Store Mining Is Not Enough","year":2017,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"App store; Mobile apps; Social media; Computer science; Feature (linguistics); World Wide Web; Smartphone app; Internet privacy; Period (music)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006433236,0.002097236,0.003059079,0.008629235,0.001834515,0.007846562,0.00438976,0.002703199,0.006066627],"category_scores_gemma":[0.03755349,0.001498566,0.002398694,0.009216273,0.001239719,0.01319483,0.002785667,0.00340856,0.01260307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195017,"about_ca_system_score_gemma":0.002401215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009335066,"about_ca_topic_score_gemma":0.01731697,"domain_scores_codex":[0.9850572,0.002428348,0.001612703,0.00322057,0.006921016,0.0007601499],"domain_scores_gemma":[0.9510034,0.01857812,0.004680431,0.01007672,0.01466435,0.0009970046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003104207,0.0005936176,0.09869485,0.003194459,0.001035691,0.0008554605,0.001495817,0.00329435,0.00648657,0.005101513,0.180163,0.6987742],"study_design_scores_gemma":[0.0001687413,0.0005269278,0.1277356,0.003096869,0.0008823984,0.004239378,0.01020916,0.08613574,0.01641564,0.05221187,0.6980084,0.0003692289],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3436296,0.03808815,0.2785472,0.09617521,0.007551409,0.003769542,0.1322885,0.02561756,0.0743328],"genre_scores_gemma":[0.5759582,0.0122976,0.2710215,0.01073003,0.004456756,0.002091761,0.08655857,0.00302664,0.03385883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009335066,"threshold_uncertainty_score":0.03402257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209013110754205,"score_gpt":0.2840148023197004,"score_spread":0.2419246712121584,"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."}}