{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001338182,0.001918827,0.0009227893,0.002935694,0.001242837,0.002933943,0.002580344,0.001718192,0.03814682],"category_scores_gemma":[0.004961139,0.00056612,0.001175047,0.003721207,0.0006859652,0.002539972,0.002820454,0.001742264,0.06351651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737444,"about_ca_system_score_gemma":0.002113812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02768892,"about_ca_topic_score_gemma":0.04473008,"domain_scores_codex":[0.998426,0.0002168134,0.0001326805,0.0004751449,0.000522218,0.0002271331],"domain_scores_gemma":[0.9978679,0.0003357045,0.0001602078,0.0009402653,0.0005004283,0.0001953894],"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":[0.0002259879,0.00006280132,0.003118292,0.0007776257,0.00005156086,0.00008720431,0.00008758136,0.001723436,0.0006721512,0.00353965,0.9738231,0.01583065],"study_design_scores_gemma":[0.0001128096,0.00003129587,0.003152202,0.000140861,0.00001316642,0.0001301721,0.000112812,0.002333375,0.001281672,0.003146438,0.9895192,0.00002591166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001752603,0.0003536479,0.001227981,0.0003901534,0.0001654799,0.00008585647,0.9810853,0.005650072,0.009288856],"genre_scores_gemma":[0.002261665,0.0001474001,0.001377708,0.0001006797,0.00001175752,0.00005014696,0.9941229,0.0002661349,0.001661649],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03814682,"threshold_uncertainty_score":0,"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."}}