{"id":"W46410129","doi":"10.4000/droitcultures.2478","title":"Cut to the Chase: Editing Time and Space through Closed-Circuit Television Surveillance","year":2011,"lang":"en","type":"article","venue":"Droit et Cultures","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et de Services Sociaux des Laurentides","funders":"","keywords":"Accountability; Variety (cybernetics); Closed circuit; Space (punctuation); Sociology; Political science; Law; Public relations; Computer science; Telecommunications; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0008359149,0.00009132898,0.00009390398,0.00001635947,0.0006005793,0.0001212789,0.0002185654,0.00005289565,0.0001370558],"category_scores_gemma":[0.0005854632,0.00006390963,0.00002729834,0.0001580927,0.000110931,0.00032204,0.00007601811,0.000153567,0.0003599382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002116607,"about_ca_system_score_gemma":0.00001949616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002626683,"about_ca_topic_score_gemma":0.002471559,"domain_scores_codex":[0.9989704,0.0002235174,0.0001087304,0.0002307735,0.0002471396,0.0002193698],"domain_scores_gemma":[0.9995463,0.00007664446,0.00006720629,0.0001690278,0.00007101527,0.00006984217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001114664,0.0001403785,0.0008811781,0.00009080814,0.00004930004,0.00005927822,0.4533976,0.00001640556,0.005264977,0.3541796,0.1209828,0.06482625],"study_design_scores_gemma":[0.0001944757,0.0001648831,0.01024242,0.00009648342,0.00003964128,0.00001438987,0.03233462,0.00002466038,0.00128996,0.00391173,0.9513484,0.0003383594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5154606,0.001390737,0.005927599,0.01408572,0.001105703,0.001473174,0.0001454175,0.0004784458,0.4599326],"genre_scores_gemma":[0.9928319,0.0004030668,0.0005070016,0.001554073,0.00116708,0.00001094028,0.00001810704,0.00001542288,0.003492353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8303656,"threshold_uncertainty_score":0.4626397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04664518558020413,"score_gpt":0.3102124970625549,"score_spread":0.2635673114823508,"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."}}