{"id":"W3197276967","doi":"10.2139/ssrn.3857359","title":"Facing the Realities of Facial Recognition Technology: Recommendations for Canada’s Privacy Act","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Toronto Metropolitan University; University of Ottawa","funders":"","keywords":"Internet privacy; Facial recognition system; Business; Psychology; Computer science; Cognitive psychology; Pattern recognition (psychology)","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002679373,0.00008963149,0.0002001256,0.00006022608,0.0009774121,0.000008814069,0.0001927479,0.0001423881,0.0004500204],"category_scores_gemma":[0.006999664,0.0000644355,0.00006397687,0.0001960907,0.00005484782,0.0001249128,0.00005214045,0.002585309,0.00000721367],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008477456,"about_ca_system_score_gemma":0.02188253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03321549,"about_ca_topic_score_gemma":0.5582839,"domain_scores_codex":[0.9974329,0.0004645261,0.0005341535,0.0001329183,0.0002096333,0.00122584],"domain_scores_gemma":[0.9974901,0.001259394,0.0003717024,0.0001987765,0.000619837,0.00006016221],"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":[0.0003391677,0.0002673349,0.01302452,0.0004535235,0.0007717412,0.000006268938,0.009984616,0.000003877341,0.001510836,0.3833047,0.08365787,0.5066755],"study_design_scores_gemma":[0.0005493615,0.000112757,0.0002260074,0.0001387681,0.00007081221,0.00003860608,0.1242771,0.000009280347,0.0004425858,0.3154056,0.5586407,0.00008848201],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3118765,0.001268526,0.005222453,0.6764656,0.00121916,0.0007298798,0.000113726,0.00004460149,0.003059529],"genre_scores_gemma":[0.9906825,0.003189804,0.0006046464,0.001550287,0.0005895052,0.00007758048,0.00007288851,0.00001675739,0.003216007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.678806,"threshold_uncertainty_score":0.9997157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0630241506490915,"score_gpt":0.4018087150364934,"score_spread":0.3387845643874019,"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."}}