{"id":"W3175178738","doi":"10.24908/ss.v19i2.14777","title":"The Case for a Ban on Facial Recognition Surveillance in Canada","year":2021,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Torture, Ethics, and Law","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science; Computer security; Computer science; Artificial intelligence; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.002246122,0.0001325469,0.0002059398,0.000006099865,0.001235719,0.0001041943,0.0001702443,0.0001475299,0.00004749902],"category_scores_gemma":[0.001116642,0.000115896,0.0001656684,0.0002912851,0.0002265081,0.00006278838,0.00002417771,0.0003204017,0.000004388201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007567607,"about_ca_system_score_gemma":0.002992856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7856227,"about_ca_topic_score_gemma":0.9995196,"domain_scores_codex":[0.9980105,0.0005033213,0.0002525737,0.0003419711,0.0003518546,0.0005397581],"domain_scores_gemma":[0.9974042,0.001881157,0.0001026295,0.0002226293,0.0002855404,0.0001038897],"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":[0.0003770531,0.0002843083,0.257198,0.0002305228,0.0002783918,0.001261861,0.09703907,0.0001906167,0.0001236183,0.02510629,0.2651694,0.3527409],"study_design_scores_gemma":[0.0007666559,0.00002854935,0.02900481,0.00002037239,0.000003043885,0.00001444309,0.03993335,0.0001279856,0.00005646833,0.002914788,0.9267426,0.0003869217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950954,0.001651146,0.0000825121,0.02564412,0.004358901,0.000880818,0.0008234839,0.0001064267,0.01549866],"genre_scores_gemma":[0.9962268,0.0008440823,0.00008039005,0.00149633,0.0005470387,0.00005124803,0.0000483375,0.00001472232,0.0006910492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6615732,"threshold_uncertainty_score":0.9504274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0376837488977675,"score_gpt":0.29637361810179,"score_spread":0.2586898692040225,"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."}}