{"id":"W2044039428","doi":"10.1145/1357054.1357152","title":"Ingimp","year":2008,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Instrumentation (computer programming); Usability; Dissemination; World Wide Web; Open source; User interface; Software; Focus (optics); Open data; Download; End user; Interface (matter); Human–computer interaction; Software engineering; Operating system","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":[0.00006020813,0.00004122497,0.00004580507,0.00003070532,0.0001253127,0.00003058276,0.0002253156,0.00001688268,0.00001686846],"category_scores_gemma":[0.00001193452,0.00003451228,0.00002377819,0.0001403394,0.00002053515,0.0001344302,0.00007157146,0.00004046045,0.0001809933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006856926,"about_ca_system_score_gemma":0.00002073771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001744835,"about_ca_topic_score_gemma":9.274084e-7,"domain_scores_codex":[0.9995844,0.000009977803,0.0000618214,0.0001310901,0.00008932705,0.0001234339],"domain_scores_gemma":[0.9996175,0.00002026801,0.00001198881,0.0002869783,0.000019535,0.00004377152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004152368,0.0001723328,0.01579912,0.00001573281,0.00003194012,0.0006949679,0.007526302,0.0007453989,0.0187336,0.5717732,0.1245516,0.2599516],"study_design_scores_gemma":[0.001621395,0.0003117645,0.05587136,0.00005964666,0.000007614157,0.005503665,0.000189499,0.3982723,0.1691604,0.01271921,0.3544975,0.001785656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2009101,0.00003204017,0.7203065,0.0003636135,0.000164041,0.00002251071,2.752297e-8,0.0003795241,0.07782161],"genre_scores_gemma":[0.9584656,0.000003206904,0.03825763,0.0004399607,0.00003263015,8.319148e-7,7.947314e-8,0.000002348589,0.002797703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7575555,"threshold_uncertainty_score":0.2326363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172566571473269,"score_gpt":0.1958944915313065,"score_spread":0.1786378343839796,"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."}}