{"id":"W2131656707","doi":"10.24908/ss.v1i1.3390","title":"Surveillance Studies: understanding visibility, mobility and the phenetic fix.","year":2002,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Visibility; Politics; Dimension (graph theory); Discipline; Economic Justice; Inequality; Sociology; Public relations; Transit (satellite); Data science; Political science; Computer science; Social science; Geography; Law; Public transport","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006370252,0.0002059741,0.00039586,0.00001492556,0.001858856,0.0001815955,0.0005010544,0.0001480463,0.0001817305],"category_scores_gemma":[0.002379621,0.000155723,0.000205363,0.0004960071,0.002519198,0.000267133,0.0003788537,0.0003117413,0.00002119448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005244658,"about_ca_system_score_gemma":0.00004963529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705706,"about_ca_topic_score_gemma":0.008239652,"domain_scores_codex":[0.9968953,0.001120498,0.0003383258,0.0005759105,0.0005372234,0.0005327589],"domain_scores_gemma":[0.9974284,0.00145322,0.0001602012,0.0006849107,0.000156586,0.0001166653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003209785,0.0005122548,0.4058177,0.0005980562,0.0006874095,0.000007471107,0.4165376,0.00003115203,0.00008177821,0.05176977,0.1138416,0.009794218],"study_design_scores_gemma":[0.01002426,0.0003071198,0.1383782,0.0001330198,0.00007161441,0.00002569216,0.3335585,0.008940577,0.00002646848,0.4027033,0.10356,0.002271292],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675278,0.05853381,0.005971963,0.03786668,0.002789592,0.003555922,0.0002029565,0.0008313006,0.02271994],"genre_scores_gemma":[0.9792829,0.01958312,0.0001324339,0.0004055387,0.0003372372,0.00004487974,0.000004604314,0.00001300952,0.0001963417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3509335,"threshold_uncertainty_score":0.9994406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08610161037472018,"score_gpt":0.3274772068123996,"score_spread":0.2413755964376794,"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."}}