{"id":"W4250645333","doi":"10.1016/s0969-4765(18)30115-2","title":"RealNetworks offers facial recognition to secure schools from shooters","year":2018,"lang":"en","type":"article","venue":"Biometric Technology Today","topic":"Information and Cyber Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Facial recognition system; Computer security; Internet privacy; Computer science; Artificial intelligence; Pattern recognition (psychology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000253081,0.0001713176,0.000189267,0.003099316,0.0002043345,0.000130742,0.001154307,0.000443708,0.0001077444],"category_scores_gemma":[0.000266967,0.0001663036,0.00005521185,0.01012448,0.0001086942,0.0004683425,0.0004042857,0.0003070275,0.002156631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078834,"about_ca_system_score_gemma":0.00005504056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006197438,"about_ca_topic_score_gemma":0.00002226566,"domain_scores_codex":[0.9985526,0.00003380392,0.0003106525,0.0004184804,0.0002702546,0.0004142618],"domain_scores_gemma":[0.9988275,0.00004112849,0.000119313,0.0006598476,0.0002167718,0.0001355038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001448524,0.00004343403,0.0009937497,0.000002505172,0.00003398941,0.000006329919,0.0005680222,3.671715e-7,0.0005836178,0.005974323,0.02726016,0.964519],"study_design_scores_gemma":[0.00280317,0.001904376,0.03020637,0.0001469431,0.00005313203,0.00006688994,0.001001641,0.007455059,0.08847059,0.07994131,0.7857984,0.002152057],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3607415,0.0001098849,0.6173454,0.01177484,0.002467407,0.0004778863,0.00008110545,0.001879887,0.005122036],"genre_scores_gemma":[0.9541445,0.00001511605,0.04373858,0.001745547,0.0002126238,0.00003102177,0.00003470189,0.000008527621,0.0000693994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9623669,"threshold_uncertainty_score":0.9986203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527860895705472,"score_gpt":0.2440577741319232,"score_spread":0.2287791651748685,"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."}}