{"id":"W654441406","doi":"","title":"Get Smarter: How much can Turning CCTV Cameras into Intelligent CCTV Systems Enhance ITS?","year":2005,"lang":"en","type":"article","venue":"Traffic Technology International","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer security; Homeland security; Intelligent transportation system; Computer science; Work (physics); Order (exchange); Closed circuit; Transport engineering; Engineering; Telecommunications; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001156895,0.0002514723,0.0002779739,0.0006843524,0.00008077556,0.00006803695,0.0005073716,0.0002592148,0.0002412539],"category_scores_gemma":[0.00003625928,0.0002665632,0.0001148252,0.0004472145,0.00008201603,0.0002362839,0.00001865347,0.0004352837,0.0001821864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869444,"about_ca_system_score_gemma":0.00002930443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001813811,"about_ca_topic_score_gemma":0.0004022031,"domain_scores_codex":[0.9986566,0.00001467329,0.0004152885,0.0002890628,0.0002934027,0.0003309659],"domain_scores_gemma":[0.9993892,0.00003412745,0.00009304129,0.0002526169,0.000144684,0.00008630848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003639756,0.0001766912,0.002839323,0.0001081057,0.001591601,0.00004960086,0.0051273,0.7646537,0.01850523,0.009248449,0.005063438,0.1926001],"study_design_scores_gemma":[0.001299687,0.0001530154,0.003265328,0.0002534084,0.000216443,0.0001700771,0.005758649,0.6382496,0.08862945,0.0001602088,0.2604044,0.001439714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518604,0.001049859,0.03328111,0.01050153,0.001035384,0.0001665755,0.00004882888,0.001490075,0.0005662358],"genre_scores_gemma":[0.9974767,0.0002586224,0.001026343,0.00008259224,0.0002409271,0.00006077144,0.00009126563,0.00003823501,0.000724551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.255341,"threshold_uncertainty_score":0.9999787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005975184372879631,"score_gpt":0.229216805184241,"score_spread":0.2232416208113614,"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."}}