{"id":"W6944892794","doi":"10.21227/vgsb-jr68","title":"5GProvGen","year":2024,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cloud computing; Software deployment; Flexibility (engineering); Intrusion detection system; Core (optical fiber); Cellular network; Key (lock)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006680576,0.0007137377,0.0006681161,0.0005311256,0.0000728506,0.000270831,0.002000012,0.0005640592,0.004184069],"category_scores_gemma":[0.0000941588,0.0006702219,0.0002086606,0.000601202,0.0001467032,0.0002698847,0.0004993076,0.001313008,0.8497811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002126404,"about_ca_system_score_gemma":0.0005680498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006679281,"about_ca_topic_score_gemma":0.0005769748,"domain_scores_codex":[0.9962637,0.00005420797,0.0006508483,0.001348202,0.0009993842,0.0006836412],"domain_scores_gemma":[0.9952619,0.00004007017,0.0002637337,0.004097024,0.00007492737,0.0002623633],"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":[0.0000147964,0.00007846131,0.000001587248,0.0004143995,0.0002545785,0.002040019,0.000004150873,0.000001135049,0.00008895649,0.000002309126,0.9970044,0.00009519522],"study_design_scores_gemma":[0.0001214636,0.00003124111,0.00000377425,0.0001878744,0.0006551056,0.0001798063,0.000004920574,0.000004124132,0.0001061322,0.00006973953,0.9978912,0.0007445659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000006361237,0.0003991548,8.845742e-7,0.00002886982,0.006047411,0.0004768267,0.9915161,0.0004870334,0.001037386],"genre_scores_gemma":[0.000001218538,0.0001074243,0.00003910292,0.0002736639,0.002307233,0.0001221059,0.9946926,0.0002670169,0.002189654],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.845597,"threshold_uncertainty_score":0.9995749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03201675708290093,"score_gpt":0.3241362348603952,"score_spread":0.2921194777774943,"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."}}