{"id":"W2057935927","doi":"10.1145/2702123.2702296","title":"Mobile Gamification for Crowdsourcing Data Collection","year":2015,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Crowdsourcing; Computer science; Task (project management); Data collection; Android (operating system); Human–computer interaction; Crowdsourcing software development; Data science; Multimedia; World Wide Web; Software; Engineering; Software development","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009082115,0.00009963314,0.0001126614,0.00008808664,0.0001849595,0.000276863,0.0008508151,0.00005427442,0.000002966592],"category_scores_gemma":[0.0001839569,0.00009392334,0.00002897448,0.0003596787,0.00002097853,0.0006162913,0.0002636994,0.00005948262,0.00003536645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006555135,"about_ca_system_score_gemma":0.0001294437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004705862,"about_ca_topic_score_gemma":0.00001325682,"domain_scores_codex":[0.9988608,0.00004038305,0.0001963697,0.0004876239,0.0001887549,0.0002260928],"domain_scores_gemma":[0.9981754,0.00008639258,0.00007497194,0.001344356,0.0001947458,0.0001241498],"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":[0.00007200051,0.0003213817,0.001124554,0.0000815685,0.0000665681,0.000006451609,0.007761609,0.00763804,0.01352981,0.0588597,0.5171536,0.3933847],"study_design_scores_gemma":[0.0004879808,0.0001438334,0.00006281061,0.00001135948,0.000007790031,0.00002461937,0.0003083555,0.8967488,0.005599044,0.00190055,0.09452612,0.0001787197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009321596,0.0001177296,0.9846823,0.0002449183,0.0005101808,0.0003585785,0.000002195427,0.0003897724,0.004372749],"genre_scores_gemma":[0.8109904,0.000004423369,0.1854607,0.0001733233,0.0001540676,0.00006988634,0.0000374997,0.00001370936,0.003096006],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8891108,"threshold_uncertainty_score":0.3830083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029384342985967,"score_gpt":0.3123220569854691,"score_spread":0.2093836226868724,"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."}}