{"id":"W2295689431","doi":"10.1007/978-3-319-29003-4_11","title":"CSSWare: A Middleware for Scalable Mobile Crowd-Sourced Services","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Middleware (distributed applications); Scalability; Computer science; Service (business); Variety (cybernetics); sort; Code (set theory); World Wide Web; Message oriented middleware; Distributed computing; Software; Database; Operating system; Business","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005759518,0.0003434519,0.0004661479,0.0002019492,0.001143597,0.0004513221,0.00242149,0.0002641852,6.095067e-7],"category_scores_gemma":[0.0000432761,0.0002831215,0.0002563305,0.0002354893,0.0003196193,0.000416794,0.0009363344,0.0003256087,7.958811e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008650051,"about_ca_system_score_gemma":0.000237027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003937018,"about_ca_topic_score_gemma":0.00006217115,"domain_scores_codex":[0.9984717,0.00001080635,0.0006412744,0.0002373242,0.0003075315,0.0003313715],"domain_scores_gemma":[0.9978038,0.0003372638,0.0005163288,0.0008572353,0.0004004878,0.00008486408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002476804,0.00001379062,0.000001811457,0.0005626418,0.00007437901,7.600839e-8,0.003002632,0.9499444,0.00001655141,0.02419201,0.0002374501,0.02195172],"study_design_scores_gemma":[0.0003007418,0.0001079193,0.000003617647,0.0004097432,0.00005068514,0.00001457722,0.00001445245,0.8614946,0.0001461744,0.001946788,0.1351404,0.0003702918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003464358,0.001057615,0.9951527,0.000402844,0.0006471121,0.0009443652,0.00008875714,0.0001367926,0.001223347],"genre_scores_gemma":[0.01296388,0.00004485851,0.9861163,0.0002045724,0.0002200089,0.00008829385,0.00005735049,0.00003006603,0.0002746223],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.134903,"threshold_uncertainty_score":0.9999621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02610140862029197,"score_gpt":0.2419395924672015,"score_spread":0.2158381838469096,"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."}}