{"id":"W1985206804","doi":"10.1109/esem.2013.9","title":"Real Challenges in Mobile App Development","year":2013,"lang":"en","type":"article","venue":"","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":378,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Popularity; Mobile apps; Computer science; Context (archaeology); Mobile device; Mobile computing; Mobile technology; Mobile business development; Mobile Web; Internet privacy; World Wide Web; Data science; Psychology; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007223229,0.00004668125,0.00005192842,0.00004271545,0.00002583905,0.00003297536,0.0003498212,0.00002325498,0.00009916614],"category_scores_gemma":[9.431387e-7,0.00003847773,0.000009177204,0.0001065813,0.000006906714,0.0001654216,0.0001148977,0.00003303115,0.001125265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001623635,"about_ca_system_score_gemma":0.00003622845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008953675,"about_ca_topic_score_gemma":0.0001018626,"domain_scores_codex":[0.999493,0.00000853093,0.0001098351,0.00018573,0.00007621319,0.0001266886],"domain_scores_gemma":[0.999612,0.0000209619,0.00001408792,0.0002914591,0.00002009193,0.0000414196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[8.651573e-8,0.0000709976,0.0003776235,0.00000410538,0.000001802373,5.253466e-7,0.0008226645,0.00001092452,0.0003361891,0.1717042,0.001346803,0.8253241],"study_design_scores_gemma":[0.0005818355,0.00009307567,0.272978,0.00002384543,0.000001237995,0.000009534163,0.0006292756,0.01838701,0.01372647,0.02487789,0.6680185,0.0006733178],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2184386,0.000849016,0.1473693,0.004251929,0.0001328806,0.001507325,1.889595e-7,0.0006737946,0.626777],"genre_scores_gemma":[0.868449,0.0008978365,0.1251969,0.00016341,0.00002570633,0.002491339,0.000001197759,0.000005205701,0.002769444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8246508,"threshold_uncertainty_score":0.9996524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02949488845872746,"score_gpt":0.2500385509083246,"score_spread":0.2205436624495971,"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."}}