{"id":"W2886331632","doi":"10.1109/icc.2018.8422306","title":"An Online Mechanism for Crowdsensing with Uncertain Task Arriving","year":2018,"lang":"en","type":"article","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Crowdsensing; Task (project management); Incentive; Mechanism (biology); Online algorithm; Online and offline; Competitive analysis; Quality (philosophy); Computer security","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":[0.0003463006,0.0002049641,0.0001968048,0.0001094728,0.000466249,0.0003953417,0.000501071,0.00007215719,0.000008108725],"category_scores_gemma":[0.00005430258,0.000160467,0.0000514472,0.0003032336,0.00009585316,0.0004701142,0.00008043805,0.00009875385,0.0000118622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004084732,"about_ca_system_score_gemma":0.00009441909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001147668,"about_ca_topic_score_gemma":0.0004279119,"domain_scores_codex":[0.9984041,0.00004929133,0.0002143146,0.0006101075,0.0002297025,0.0004924712],"domain_scores_gemma":[0.9983989,0.0001043463,0.00008974334,0.000847245,0.0003882707,0.0001714898],"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":[0.00008593724,0.0003675248,0.0003012174,0.00006363477,0.00009266537,0.00006729757,0.00490114,0.0009213604,0.3115602,0.5074567,0.001413316,0.172769],"study_design_scores_gemma":[0.0006707673,0.001141347,0.0001932596,0.0001112554,0.0000182046,0.0001492099,0.0004870477,0.8991873,0.08482705,0.01133472,0.001353541,0.0005262724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2136122,0.000004391588,0.7843308,0.0004538214,0.0002296764,0.0001758393,0.000002320711,0.0004212617,0.0007696575],"genre_scores_gemma":[0.636784,3.919114e-7,0.3617648,0.000912046,0.0002983078,0.000003860419,0.000003697416,0.00001867848,0.0002142249],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.898266,"threshold_uncertainty_score":0.6543653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711293805390235,"score_gpt":0.2671478121268361,"score_spread":0.2400348740729338,"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."}}