{"id":"W4238638671","doi":"10.24908/ss.v19i2.14916","title":"Smart Surveillance","year":2021,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Queen's University","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Computer science; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007253048,0.0001756115,0.0002484911,0.00001447666,0.0003074208,0.0002059265,0.0005241513,0.0001306183,0.0001318304],"category_scores_gemma":[0.00008015332,0.0001805438,0.0002841151,0.0009113022,0.00006778509,0.0003366485,0.0003351565,0.0002783985,0.0001450638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007700286,"about_ca_system_score_gemma":0.0001386017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003652778,"about_ca_topic_score_gemma":0.0002924347,"domain_scores_codex":[0.998128,0.0002068782,0.0002616764,0.0005957727,0.0003703781,0.0004372739],"domain_scores_gemma":[0.9985342,0.0001669828,0.00009755848,0.0008171001,0.0002716263,0.0001125583],"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":[0.0000434613,0.0006466263,0.1608606,0.0002285225,0.0003929717,0.0002029862,0.008410661,0.0008128895,0.01504055,0.06686653,0.4800697,0.2664246],"study_design_scores_gemma":[0.0009321312,0.00008789935,0.1315873,0.0000288774,0.000002587167,0.0001299605,0.0001814561,0.04653588,0.006119863,0.006602936,0.8068928,0.0008983241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2903414,0.009378759,0.6495209,0.01235063,0.009295082,0.0004311779,0.00003882449,0.002328697,0.0263145],"genre_scores_gemma":[0.9847947,0.001391685,0.01050952,0.002053881,0.0003597278,0.00001292487,0.00001642826,0.00001600983,0.0008451404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6944532,"threshold_uncertainty_score":0.7362361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068826197454384,"score_gpt":0.2264973610227443,"score_spread":0.2158090990482004,"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."}}