{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001121068,0.000528326,0.0005881219,0.00008647102,0.00007065257,0.00008954245,0.0003940932,0.0004724297,0.1544188],"category_scores_gemma":[0.00003388644,0.000457423,0.0001532426,0.00001976447,0.0001291807,4.856316e-7,0.00007889867,0.0004387386,0.02235912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005480356,"about_ca_system_score_gemma":0.00002431747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00145721,"about_ca_topic_score_gemma":0.0002983319,"domain_scores_codex":[0.9981763,0.00002733454,0.0006395496,0.000267882,0.0004418537,0.0004471319],"domain_scores_gemma":[0.9986468,0.00008412793,0.0002673556,0.0007047165,0.0001157699,0.0001812508],"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":[0.00003487183,0.0000261341,0.000002772564,0.001094167,0.00008362864,0.000006570553,0.0000840787,0.04535309,0.000004977139,0.00006929851,0.9523451,0.0008953355],"study_design_scores_gemma":[0.0005752976,0.0001299511,0.000002781293,0.0003155336,0.0000891704,0.00001432805,0.00004657015,0.007389219,0.00002784638,0.000005480327,0.9908246,0.0005791866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002403689,0.0005747192,0.00001953299,0.0001172277,0.0001735595,0.000860692,0.0002010688,0.0006552633,0.9971576],"genre_scores_gemma":[0.007543093,0.0001407534,0.000992812,0.0001418406,0.0002231226,0.00003992032,0.0002545425,0.0003170066,0.9903469],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1320597,"threshold_uncertainty_score":0.9997877,"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."}}