{"id":"W4318577055","doi":"10.2139/ssrn.4321205","title":"Transparent Lives: Surveillance in Canada","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Queen's University; University of Victoria","funders":"","keywords":"Internet privacy; Political science; Data science; Computer science","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":[0.002921181,0.0002864051,0.0003544152,0.001923708,0.005741407,0.003980197,0.001857049,0.001501372,0.007779561],"category_scores_gemma":[0.0144532,0.0003753291,0.0004447641,0.005151887,0.001482262,0.001448995,0.002418885,0.002629942,0.000438933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09093349,"about_ca_system_score_gemma":0.2757774,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9984607,"about_ca_topic_score_gemma":0.9991375,"domain_scores_codex":[0.9966497,0.0005480438,0.0001571567,0.0002791187,0.001081798,0.001284184],"domain_scores_gemma":[0.9839162,0.002185664,0.00117623,0.0003769362,0.007515495,0.004829542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005669786,0.0003956426,0.4599525,0.0006304855,0.0001359363,0.001096939,0.01541039,0.002008962,0.0004518162,0.0348288,0.2713637,0.2131578],"study_design_scores_gemma":[0.0002275238,0.0002196608,0.7357793,0.001397018,0.0001752674,0.0003862593,0.04012872,0.006175115,0.0006630284,0.005708347,0.2088656,0.0002741248],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6694636,0.01336383,0.004049388,0.1555381,0.001153154,0.0007297494,0.02571934,0.0003299637,0.1296529],"genre_scores_gemma":[0.9470502,0.005059361,0.003171788,0.009019195,0.0001363376,0.0001755309,0.00316229,0.0001083868,0.03211688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09093349,"threshold_uncertainty_score":0.6597717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959454139257138,"score_gpt":0.2922381263392976,"score_spread":0.2726435849467262,"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."}}