{"id":"W2745631987","doi":"10.1037/xhp0000467","title":"Transition from feature-search to singleton-detection strategies in visual search: The role of number of target-defining options.","year":2017,"lang":"en","type":"article","venue":"Journal of Experimental Psychology Human Perception & Performance","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Singleton; Feature (linguistics); Visual search; Colored; Pattern recognition (psychology); Artificial intelligence; Computer science; Mode (computer interface); Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007775489,0.0002622723,0.00020462,0.0003298045,0.0001319009,0.0006887486,0.0003652023,0.0005652425,0.003397163],"category_scores_gemma":[0.006268878,0.0002563215,0.000181236,0.0002018613,0.0004701499,0.001041727,0.000666811,0.0004631541,0.0003252175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005822,"about_ca_system_score_gemma":0.000279138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092256,"about_ca_topic_score_gemma":0.001191955,"domain_scores_codex":[0.9997115,0.00006038124,0.00003573109,0.00009655725,0.00005962186,0.0000361885],"domain_scores_gemma":[0.9966935,0.001495891,0.001114938,0.000231819,0.000146074,0.0003177884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002115777,0.0002893312,0.01553529,0.0002148364,0.00004711379,0.00008895923,0.0002704059,0.001068117,0.9456126,0.0008080993,0.0001768788,0.03377262],"study_design_scores_gemma":[0.0006526734,0.004744199,0.7219402,0.00008539883,0.0002234759,0.001186475,0.0004158827,0.04824346,0.2147086,0.006195066,0.001499306,0.0001053177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957218,0.0003193793,0.00285197,0.00005949639,0.000009994057,0.00001921991,0.0000702266,0.00003840936,0.0009095641],"genre_scores_gemma":[0.994226,0.0001892757,0.004944343,0.00004747275,0.000008650609,0.00004251187,0.00008063073,0.00001149204,0.0004497183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003397163,"threshold_uncertainty_score":0.01136464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1189035213352906,"score_gpt":0.4543816657069408,"score_spread":0.3354781443716502,"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."}}