{"id":"W6944743493","doi":"10.21227/5q11-z704","title":"CRAWDAD toronto/bluetooth","year":2022,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bluetooth; Wireless; Protocol (science); Vulnerability (computing); Host (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001299074,0.0009981977,0.001074851,0.0002360772,0.0003870925,0.0002145116,0.004025739,0.0004846363,0.5403498],"category_scores_gemma":[0.0001960102,0.001092889,0.0002985954,0.0003948756,0.0001823696,0.0008888457,0.001197473,0.001434603,0.0315181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161958,"about_ca_system_score_gemma":0.0008993934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02595707,"about_ca_topic_score_gemma":0.01958719,"domain_scores_codex":[0.9937174,0.0002464818,0.001003129,0.001752624,0.002185095,0.001095213],"domain_scores_gemma":[0.9919734,0.00009971085,0.0008315462,0.006576974,0.00009725499,0.0004211318],"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":[0.00006567618,0.0003396061,0.000008577712,0.0001244795,0.0002481181,0.001191524,0.00001494436,0.000005640307,0.00005156446,0.000004364856,0.9977814,0.0001641151],"study_design_scores_gemma":[0.0004573155,0.0001014903,0.00004514745,0.00003176674,0.0004032192,0.0001790241,0.00005424445,0.000001693852,0.00002335435,0.00001032663,0.997499,0.001193369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001228403,0.0006109353,0.000002294211,0.00001442647,0.005830188,0.0007037483,0.9901397,0.0004012265,0.002285226],"genre_scores_gemma":[0.000001538962,0.0003514685,0.00005086943,0.0006473992,0.001293829,0.0003683573,0.9945052,0.0003196824,0.002461644],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5088317,"threshold_uncertainty_score":0.9991521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0279625281490585,"score_gpt":0.3104099773118856,"score_spread":0.2824474491628272,"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."}}