{"id":"W3110065698","doi":"10.24908/ss.v18i4.14257","title":"Review of Fan’s Camera Power: Proof, Policing, Privacy, and Audiovisual Big Data","year":2020,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Power (physics); Computer security; Computer science; Proof of concept; Big data; Internet privacy; Physics; Operating system","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":[0.005567976,0.0008139609,0.001386164,0.008490813,0.0014372,0.004390969,0.001821502,0.003623374,0.007369477],"category_scores_gemma":[0.02322189,0.000856646,0.0008530563,0.01108642,0.003091621,0.007758212,0.00155773,0.004357985,0.003324222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004915476,"about_ca_system_score_gemma":0.008763227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01415963,"about_ca_topic_score_gemma":0.02417504,"domain_scores_codex":[0.9969739,0.0009068658,0.0003983529,0.0002507389,0.001340677,0.0001293975],"domain_scores_gemma":[0.968688,0.02113866,0.001341613,0.0004880971,0.007631187,0.0007125996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002672398,0.00002400398,0.0002221091,0.01646568,0.00005724293,0.0001339039,0.00050901,0.0001709719,0.0001064969,0.02613529,0.6047807,0.3513679],"study_design_scores_gemma":[0.000003220268,0.00001197077,0.0003772505,0.01304346,0.00001803086,0.000174345,0.0001516072,0.00002754088,0.00003632845,0.001892994,0.9842502,0.0000130528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007012884,0.9784458,0.0002983944,0.01267988,0.003711679,0.00001391889,0.00004654516,0.00001402261,0.004719633],"genre_scores_gemma":[0.000906862,0.9845337,0.0003509143,0.00915191,0.00290797,0.00002825894,0.00007846242,0.00002247343,0.002019466],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01415963,"threshold_uncertainty_score":0.03566444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07554452230783695,"score_gpt":0.3483891163998966,"score_spread":0.2728445940920596,"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."}}