{"id":"W4248235091","doi":"10.1109/rndm48015.2019.8949087","title":"Front Matter","year":2019,"lang":"en","type":"paratext","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Cyprus; Ontario Centres of Excellence; National Science Foundation","keywords":"Computer science; Wireless sensor network; Internet of Things; Computer security; Smart grid; Wearable computer; Situation awareness; Computer network; Embedded system; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001093531,0.001203675,0.001009061,0.00193961,0.002114695,0.01045686,0.00133877,0.003330115,0.9397988],"category_scores_gemma":[0.006665369,0.0004831057,0.0006726502,0.001663904,0.0005516089,0.003278343,0.00189039,0.002217368,0.9423231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001945763,"about_ca_system_score_gemma":0.002621273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001761641,"about_ca_topic_score_gemma":0.003476121,"domain_scores_codex":[0.9986645,0.00009751006,0.00008734195,0.0002386299,0.000709489,0.0002024969],"domain_scores_gemma":[0.9949307,0.0004709839,0.000194554,0.0005284479,0.002359675,0.001515749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000160843,0.00001350843,0.00002892224,0.00008650363,0.000001240142,0.00001989536,0.000008521024,0.00001232789,0.0001467663,0.001098859,0.9727954,0.02577215],"study_design_scores_gemma":[0.000005875131,0.000007023334,0.0001116385,0.00004134792,6.436083e-7,0.00001890041,0.00001443253,0.00001676922,0.0000814288,0.0004289585,0.9992703,0.000002748387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002121382,0.0005917737,0.0004932397,0.002852489,0.008970454,0.0001390634,0.004136935,0.001767785,0.9808362],"genre_scores_gemma":[0.0006242012,0.0002890059,0.0001169552,0.0007727055,0.001112278,0.00004263036,0.001674675,0.0004351669,0.9949324],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06020123,"threshold_uncertainty_score":0.08586973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03735850565354657,"score_gpt":0.2037784911102831,"score_spread":0.1664199854567365,"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."}}