{"id":"W4283717364","doi":"10.35784/jcsi.2820","title":"Preferences of modern mobile app users","year":2022,"lang":"en","type":"article","venue":"Journal of Computer Sciences Institute","topic":"Intellectual Property Rights and Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mobile apps; Internet privacy; Download; Mobile device; Product (mathematics); Quarter (Canadian coin); Computer science; Habit; World Wide Web; App store; Advertising; Business; Psychology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002700576,0.0001299817,0.0001465194,0.0007260671,0.0002603949,0.0007537039,0.00009575114,0.00029714,0.006949703],"category_scores_gemma":[0.001345664,0.00009997225,0.0002400802,0.0004458108,0.000164553,0.0004981948,0.0003262193,0.0003352811,0.001001683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450508,"about_ca_system_score_gemma":0.0000704872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002146866,"about_ca_topic_score_gemma":0.002673497,"domain_scores_codex":[0.9997863,0.00004692719,0.00001831889,0.00003008979,0.00006659592,0.00005173109],"domain_scores_gemma":[0.9991404,0.0001741159,0.0002321037,0.00003391334,0.0001670493,0.0002523151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004927304,0.0003982071,0.9124695,0.0001437077,0.0001202926,0.0008573838,0.01065763,0.0001808991,0.007155589,0.0005406194,0.002564302,0.06441913],"study_design_scores_gemma":[0.000009389243,0.0005984375,0.9787662,0.00003004208,0.00003830275,0.001541511,0.01036434,0.0004354701,0.0003767336,0.000144283,0.007657162,0.00003810045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960216,0.0001707111,0.0001114734,0.00008467324,0.000007562427,0.000009542915,0.000143414,0.000005976943,0.003444967],"genre_scores_gemma":[0.9969182,0.0001664358,0.0001351472,0.00008538532,0.00000810785,0.00001172371,0.0001114961,0.000003177327,0.002560499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006949703,"threshold_uncertainty_score":0.02324903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06323184976065144,"score_gpt":0.3077628253367806,"score_spread":0.2445309755761292,"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."}}