{"id":"W1481759855","doi":"10.24908/ss.v12i3.4973","title":"Playdates with Big Brother: Playfully Repurposing Surveillance Cameras to Build Communities","year":2014,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Technische Universiteit Delft; York University","keywords":"Repurposing; Software deployment; Context (archaeology); Brother; Computer science; Set (abstract data type); Process (computing); Big data; Computer security; Sociology; Engineering; Data mining; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00130049,0.0003828908,0.0004676585,0.0001168069,0.0006164706,0.0002977418,0.001433538,0.0001820778,0.00002127153],"category_scores_gemma":[0.0001263989,0.0003425728,0.0001248514,0.001064728,0.0003371016,0.0004175281,0.0004134273,0.0006291274,0.00008172643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00021622,"about_ca_system_score_gemma":0.0000891828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006346452,"about_ca_topic_score_gemma":0.002585757,"domain_scores_codex":[0.9975469,0.000335553,0.000417465,0.0006025544,0.0004283352,0.0006692086],"domain_scores_gemma":[0.9969628,0.0006461702,0.0002949333,0.001477378,0.0005333203,0.00008543341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002555042,0.0003836903,0.7426705,0.0001898663,0.0006668323,0.00002090622,0.03476323,0.002137868,0.0228592,0.05869832,0.04621688,0.09113716],"study_design_scores_gemma":[0.004523142,0.003067429,0.3767754,0.0006369334,0.00001821915,0.0004537705,0.007971309,0.0410212,0.03685548,0.004117468,0.5196184,0.004941202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6526091,0.0001243338,0.3407868,0.00227,0.0007883664,0.000359754,0.0000186468,0.0009270554,0.002116028],"genre_scores_gemma":[0.9711795,0.00004028672,0.02585833,0.00237193,0.0001921445,0.00007155603,0.00002066208,0.00004565161,0.000219897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4734015,"threshold_uncertainty_score":0.9999026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244791256568782,"score_gpt":0.2416567920734786,"score_spread":0.2292088795077908,"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."}}