{"id":"W3135902082","doi":"10.24908/ss.v19i1.14068","title":"Representations of Surveillance and Perceptual Technologies at Military Museums","year":2021,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Invisibility; Perception; Camouflage; Conflation; Sociology; Visibility; Visual arts; Narrative; Harm; Focus (optics); Aesthetics; Psychology; Computer science; Epistemology; Social psychology; Art; Geography; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001746771,0.0001528858,0.0002822836,0.00001096846,0.0003607463,0.00003501151,0.0001195325,0.00007813096,0.001116516],"category_scores_gemma":[0.00007288463,0.000127565,0.0001847107,0.00007901991,0.0006757603,0.0001305613,0.0001820841,0.0001266055,0.00001390934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003527784,"about_ca_system_score_gemma":0.000027764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004368311,"about_ca_topic_score_gemma":0.01037565,"domain_scores_codex":[0.9989221,0.00006036285,0.0002616156,0.0003359856,0.0001850335,0.0002349105],"domain_scores_gemma":[0.9992196,0.0001166924,0.00006914396,0.00033409,0.0002259521,0.00003450866],"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":[0.00008270823,0.0004002733,0.2918246,0.0008747744,0.0005839568,0.00004349474,0.3607073,0.00003780436,0.02561701,0.05976557,0.2438251,0.01623747],"study_design_scores_gemma":[0.0009264573,0.0001049397,0.2155045,0.00005460659,0.00001557186,0.00002644063,0.3273952,0.0001855595,0.001233798,0.001176502,0.4526694,0.0007070573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791697,0.007412861,0.000005048494,0.001368255,0.0002678708,0.0001137337,0.0002853017,0.0002081223,0.01116906],"genre_scores_gemma":[0.9917505,0.003131024,0.0002628579,0.0001213839,0.0001054649,0.00001420551,0.00008806625,0.000014941,0.004511533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2088443,"threshold_uncertainty_score":0.9997966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0224665822409696,"score_gpt":0.237196220318808,"score_spread":0.2147296380778384,"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."}}