{"id":"W4241636803","doi":"10.1109/msec.2019.2917485","title":"Table of contents","year":2019,"lang":"en","type":"article","venue":"IEEE Security & Privacy","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Niagara","funders":"","keywords":"Table (database); Information retrieval; Computer science; Natural language processing; Database","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":[0.0001297306,0.00008577422,0.0001757164,0.00007824731,0.00003777664,0.00004201639,0.002473989,0.00007614103,0.00002105416],"category_scores_gemma":[0.00005152291,0.00008072331,0.00004970906,0.0003256059,0.0000549386,0.0004157622,0.0005588674,0.0001575449,0.0001527143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001128779,"about_ca_system_score_gemma":0.00003660977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007082898,"about_ca_topic_score_gemma":0.000003771314,"domain_scores_codex":[0.9991912,0.00003401327,0.0002050719,0.0002011615,0.000180059,0.0001885038],"domain_scores_gemma":[0.9980325,0.00006570834,0.0001257579,0.001636458,0.0001025342,0.00003711182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003393068,0.0008794814,0.05808135,0.0002715432,0.0001225381,0.00000726783,0.006207431,0.00006240528,0.06454503,0.7520452,0.01798761,0.09975622],"study_design_scores_gemma":[0.001561189,0.0002662751,0.008488851,0.0001267756,0.00000799469,0.00001045565,0.0001844771,0.01486668,0.7825066,0.09815758,0.09328429,0.0005387731],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742624,0.0005269125,0.01708441,0.001570101,0.0004196833,0.0002347932,0.000003878417,0.0004045409,0.005493289],"genre_scores_gemma":[0.9948971,0.0001077622,0.004659864,0.0001539576,0.000007492618,0.000006386397,0.000001105758,0.000004609533,0.0001616726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7179616,"threshold_uncertainty_score":0.4597327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859915267797179,"score_gpt":0.2463032347687909,"score_spread":0.2277040820908191,"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."}}