{"id":"W4315781267","doi":"10.18280/i2m.210605","title":"A Multi Task Allocation Based Time Optimization Framework Using Social Networks in Mobile Crowd Sensing","year":2022,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Task (project management); Scheduling (production processes); Schedule; Crowdsensing; Real-time computing; Task analysis; Optimization problem; Crowdsourcing; Greedy algorithm; Distributed computing; Engineering; Computer security; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001076424,0.0002132377,0.0002458433,0.0002930623,0.0007792335,0.0002344637,0.0003773902,0.0001463342,0.00005313758],"category_scores_gemma":[0.00007936742,0.0002552295,0.00008714222,0.001035196,0.00005933002,0.0003107091,0.0002065379,0.0004608138,0.000004955406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004761748,"about_ca_system_score_gemma":0.0001732578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005799784,"about_ca_topic_score_gemma":0.000006196242,"domain_scores_codex":[0.9974165,0.0007229824,0.0004623063,0.0005545388,0.0004134637,0.0004302295],"domain_scores_gemma":[0.9990361,0.0001897152,0.0002947622,0.0003385856,0.00008728664,0.00005358712],"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":[0.0000285466,0.00007287911,0.0009823324,0.000005544986,0.0000106321,0.00001486786,0.000919402,0.9738118,0.004703264,0.00007044384,0.00004738717,0.0193329],"study_design_scores_gemma":[0.0008125186,0.00008438339,0.001104223,0.00001767548,0.00001355092,0.00001561245,0.0002602749,0.9968342,0.0003885419,0.0001399226,0.00008558584,0.0002435672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2680097,0.00005216297,0.7306566,0.0003580297,0.0003988016,0.0003278193,0.000003307461,0.0001736998,0.00001992494],"genre_scores_gemma":[0.7207177,0.000002035697,0.2784697,0.0006381851,0.00006910617,0.00003515136,0.00004023244,0.00001843146,0.000009435485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.452708,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272129765181543,"score_gpt":0.2815066380468513,"score_spread":0.2587853403950359,"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."}}