{"id":"W2185548553","doi":"10.5555/2615731.2615791","title":"Reputation-aware task allocation for human trustees","year":2014,"lang":"en","type":"article","venue":"Adaptive Agents and Multi-Agents Systems","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reputation; Task (project management); Computer science; Workload; Delegation; Crowdsourcing; Resource allocation; Operations research; Economics; Computer network; World Wide Web; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003324628,0.0008009181,0.001071056,0.0006102314,0.001145935,0.001419429,0.001937338,0.0008300276,0.002203779],"category_scores_gemma":[0.01079057,0.0004025478,0.0005269223,0.0005169149,0.001065809,0.001964272,0.002416355,0.0009560926,0.0005958061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181134,"about_ca_system_score_gemma":0.002072048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003713535,"about_ca_topic_score_gemma":0.004019673,"domain_scores_codex":[0.997531,0.001141445,0.0001259033,0.0004599222,0.0004285567,0.0003131612],"domain_scores_gemma":[0.9924411,0.003046504,0.0009863224,0.001629909,0.001104254,0.0007919106],"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":[0.000907689,0.0004604254,0.005671326,0.000371001,0.000141037,0.0003102294,0.001013874,0.7384146,0.02545378,0.02761446,0.004468575,0.195173],"study_design_scores_gemma":[0.00004251809,0.0001297155,0.0006253752,0.000007775799,0.00002729272,0.00007436121,0.0001058797,0.9871886,0.002190758,0.007973101,0.001609941,0.00002469678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1175784,0.0005069748,0.8740752,0.0004180897,0.00008601676,0.000184072,0.00005147496,0.0009701161,0.006129574],"genre_scores_gemma":[0.9492871,0.0000763526,0.04871238,0.00003258143,0.000029217,0.00007858832,0.00002676494,0.00003472435,0.001722315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003713535,"threshold_uncertainty_score":0.01758254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04947797062188094,"score_gpt":0.2924733497182121,"score_spread":0.2429953790963311,"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."}}