{"id":"W3091588063","doi":"10.1016/j.iot.2020.100297","title":"Locally reconfigurable Self Organizing Feature Map for high impact malicious tasks submission in Mobile Crowdsensing","year":2020,"lang":"en","type":"article","venue":"Internet of Things","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Crowdsensing; Task (project management); Feature (linguistics); Mobile device; Human–computer interaction; Artificial intelligence; Embedded system; Real-time computing; Computer security; World Wide Web; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000481542,0.0002829568,0.0004722238,0.0001436697,0.00007043392,0.0002791688,0.0007782487,0.0002025529,0.00002413366],"category_scores_gemma":[0.0001796453,0.0002571097,0.0001627,0.0003831067,0.00003752447,0.0005426112,0.0001874753,0.0004049635,0.00001893981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001470642,"about_ca_system_score_gemma":0.0001103941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005793317,"about_ca_topic_score_gemma":0.000009891513,"domain_scores_codex":[0.998085,0.00007614461,0.0004709653,0.0006143684,0.00026743,0.0004860963],"domain_scores_gemma":[0.9987216,0.0001819536,0.0002827479,0.000427837,0.0001920458,0.0001938137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005666154,0.0004172101,0.003252419,0.001434152,0.0003137389,0.0003910677,0.1092772,0.006074571,0.6958211,0.003184183,0.06849473,0.110773],"study_design_scores_gemma":[0.002007289,0.001433789,0.0005882774,0.001410885,0.00004287173,0.0001626103,0.0006045706,0.3762787,0.6032465,0.001427501,0.01187028,0.000926783],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8440449,0.0004929496,0.1500883,0.00324296,0.0005847813,0.0006207443,0.000004767528,0.0004455518,0.0004749911],"genre_scores_gemma":[0.9632934,0.000006379733,0.03515448,0.001089809,0.0001001135,0.000007961416,0.000007039571,0.00004111178,0.0002997352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3702041,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027843866201548,"score_gpt":0.2370144495864058,"score_spread":0.2267360109243903,"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."}}