{"id":"W2154985073","doi":"10.1518/0018720024497862","title":"LCD versus CRT Displays: A Comparison of Visual Search Performance for Colored Symbols","year":2002,"lang":"en","type":"article","venue":"Human Factors The Journal of the Human Factors and Ergonomics Society","topic":"Color perception and design","field":"Psychology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Dynamics (Canada); University of Toronto; Defence Research and Development Canada","funders":"Compute Canada; Defence Research and Development Canada","keywords":"Liquid-crystal display; Visual search; Colored; Cathode ray tube; Artificial intelligence; Computer vision; Pixel; Viewing angle; Computer science; Feature (linguistics); Computer graphics (images); CRTS; Optics; Physics; Materials 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":[0.000657487,0.000286193,0.0005609212,0.00006765289,0.001052846,0.00007277126,0.0006351339,0.0001943829,0.00072931],"category_scores_gemma":[0.00002521211,0.0001658089,0.0006422068,0.0001128312,0.00047253,0.0001484733,0.0001215661,0.0005729492,0.000006106237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001743363,"about_ca_system_score_gemma":0.00003192886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005020759,"about_ca_topic_score_gemma":0.00005005671,"domain_scores_codex":[0.9981793,0.0001984168,0.0007801568,0.0001912503,0.0002683991,0.0003824845],"domain_scores_gemma":[0.9980611,0.0006190155,0.0006968293,0.0003417051,0.000145986,0.0001353579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002253248,0.001681858,0.6712294,0.0001847056,0.001663067,4.553623e-7,0.2264958,0.0005140326,0.02200358,0.002035122,0.07130443,0.0006343935],"study_design_scores_gemma":[0.004346277,0.002971407,0.9516929,0.00006495236,0.000368191,0.000006896456,0.03458547,0.001266253,0.002243708,0.00006813151,0.001996979,0.0003887919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980903,0.000189775,0.00006509716,0.00005059558,0.0008755989,0.0003798231,0.00003234318,0.00001360488,0.0003028481],"genre_scores_gemma":[0.9986778,0.00009506954,0.00002462608,0.00004918652,0.0002011557,0.000004601151,0.000006131821,0.00003381589,0.0009076239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2804636,"threshold_uncertainty_score":0.8097746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138849322786863,"score_gpt":0.3694015356358401,"score_spread":0.2305522128489771,"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."}}