{"id":"W4399756098","doi":"10.24908/ss.v22i2.16300","title":"The Canadian Clearview AI Investigation as a Call for Digital Policy Literacy","year":2024,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Social Media and Politics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Literacy; Digital literacy; EXPOSE; Computer science; Psychology; World Wide Web; Pedagogy; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01438818,0.000724064,0.0005654872,0.003859424,0.05043292,0.02112017,0.003885445,0.01033515,0.01072366],"category_scores_gemma":[0.04008215,0.00110152,0.001076617,0.004047887,0.02038076,0.00563686,0.009323697,0.01990072,0.0008826993],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2320515,"about_ca_system_score_gemma":0.3804264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914269,"about_ca_topic_score_gemma":0.9935544,"domain_scores_codex":[0.9633302,0.003581232,0.0006887782,0.002301907,0.02121134,0.008886537],"domain_scores_gemma":[0.9521341,0.01610817,0.00177436,0.002165912,0.02138446,0.006432907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000880126,0.00009309158,0.009113463,0.000255783,0.00003189877,0.00190708,0.07976495,0.0004313642,0.001929887,0.5595405,0.3059206,0.04092334],"study_design_scores_gemma":[0.00002270983,0.00003678468,0.0129993,0.0003744798,0.00003532912,0.0002306065,0.03547432,0.0005294057,0.001628328,0.01522777,0.9332642,0.0001767964],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07726945,0.003201031,0.004086725,0.423847,0.001766619,0.0004880733,0.0009211214,0.0002279222,0.4881919],"genre_scores_gemma":[0.5952116,0.002680667,0.006231014,0.1680793,0.000317814,0.0003345532,0.0005609245,0.000215363,0.2263687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2320515,"threshold_uncertainty_score":0.8907114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987872120189518,"score_gpt":0.3516530653748228,"score_spread":0.3317743441729276,"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."}}