{"id":"W2893649372","doi":"10.1177/1541931218621255","title":"Priority or Parity? Scanning Strategies and Detection Performance of Novice Operators in Urban Surveillance","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Parity (physics); Operator (biology); Closed circuit; Computer security; Control (management); Artificial intelligence; Real-time computing; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001498388,0.000345387,0.0001480605,0.0004842973,0.0002339593,0.001323598,0.0003438395,0.0007123201,0.002121725],"category_scores_gemma":[0.01668922,0.0002680687,0.0001329668,0.0001193396,0.0005278692,0.0009705634,0.0004486687,0.0006203838,0.0004424381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238001,"about_ca_system_score_gemma":0.0003145756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002212356,"about_ca_topic_score_gemma":0.003544701,"domain_scores_codex":[0.9994831,0.0001575593,0.00004133505,0.00009782051,0.0001134631,0.0001066942],"domain_scores_gemma":[0.9907232,0.004765817,0.001854095,0.0003193223,0.001180993,0.001156465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002201857,0.004242647,0.7692637,0.0002855763,0.0001251817,0.0006408375,0.03602949,0.003178479,0.09438515,0.0005496187,0.000857353,0.08824012],"study_design_scores_gemma":[0.0000837848,0.005365789,0.9448863,0.0001175851,0.00005966488,0.0006155881,0.02464974,0.01367837,0.008252623,0.0009995922,0.001154382,0.0001365293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992217,0.00001561765,0.0002386736,0.00001720103,0.000002134618,0.000006636521,0.000004786069,0.000003766727,0.0004894348],"genre_scores_gemma":[0.9989479,0.00003704286,0.0004677254,0.00002664347,0.000002500378,0.00000571656,0.00001912093,0.000003975569,0.000489413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002212356,"threshold_uncertainty_score":0.007924318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910210470212839,"score_gpt":0.2923985016238816,"score_spread":0.2732963969217533,"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."}}