{"id":"W7053371640","doi":"","title":"#4961 - (URR NYC) #URRTHEBUZZFEED - \"💽💽💽STINGRAY: Cellular Site Simulator💽💽💽\" With Dr. Shirley Moore","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magneto-Optical Properties and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stingray; Phone; Law enforcement; State (computer science); Enforcement","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005630383,0.0006765985,0.0004367755,0.0009378532,0.001646485,0.002651548,0.0006931115,0.001673715,0.8916742],"category_scores_gemma":[0.002006015,0.0003378262,0.000227204,0.0006916711,0.0004498224,0.001453966,0.001334541,0.001365895,0.8671596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110731,"about_ca_system_score_gemma":0.001082395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005694994,"about_ca_topic_score_gemma":0.0152062,"domain_scores_codex":[0.9995238,0.00004203893,0.00001823524,0.00007972727,0.0002519937,0.00008422886],"domain_scores_gemma":[0.9985757,0.0001742759,0.00005591573,0.0001406837,0.0007499029,0.0003034491],"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":[0.00002939321,0.00003341469,0.0000994551,0.00005031331,9.124049e-7,0.00003484753,0.00003094317,0.00002233564,0.0007093708,0.002663673,0.9391469,0.05717841],"study_design_scores_gemma":[0.000003679863,0.00001242831,0.0002151255,0.00002894233,5.955321e-7,0.00002782558,0.00002917074,0.00004732229,0.0003535869,0.0002068185,0.999071,0.000003425613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003230768,0.0001415622,0.000546927,0.0005886053,0.0006375814,0.00006960727,0.001456596,0.001174301,0.9950617],"genre_scores_gemma":[0.0005877253,0.00005193775,0.0001398039,0.0001165655,0.00002857305,0.0000134995,0.0003389141,0.000181573,0.9985415],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8916742,"threshold_uncertainty_score":0.1545136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004355951723332707,"score_gpt":0.154818863104125,"score_spread":0.1504629113807923,"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."}}