{"id":"W2058953611","doi":"10.1167/11.11.1204","title":"The Rapid Extraction of Statistical Properties in Visual Search","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Visual search; Conjunction (astronomy); Task (project management); Set (abstract data type); Pattern recognition (psychology); Artificial intelligence; Perception; Mathematics; Computer science; Orientation (vector space); Display size; Similarity (geometry); Statistics; Psychology; Image (mathematics); Physics","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":[0.001624964,0.0005233914,0.0009890595,0.001924076,0.0003025678,0.00137675,0.0006476429,0.0005842199,0.001114778],"category_scores_gemma":[0.0183327,0.000907171,0.0006764428,0.001713896,0.0007896308,0.004724852,0.001601159,0.000878409,0.0005164839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006760616,"about_ca_system_score_gemma":0.0004720935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00134229,"about_ca_topic_score_gemma":0.0009626486,"domain_scores_codex":[0.9987438,0.0002347051,0.0001065221,0.0002660039,0.0005627614,0.00008608591],"domain_scores_gemma":[0.9922769,0.004612285,0.001351966,0.001092384,0.0004420717,0.0002243972],"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":[0.001479387,0.0001355686,0.02417255,0.0007825751,0.0002003563,0.0002618135,0.0009247813,0.01292137,0.6403914,0.01809246,0.000751232,0.2998865],"study_design_scores_gemma":[0.0002112,0.001580011,0.545696,0.0001241463,0.0002475544,0.002131677,0.0003017497,0.1985501,0.1876194,0.05898293,0.004203846,0.000351382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.792416,0.001869368,0.1987233,0.0001833853,0.00003876258,0.0001283349,0.0002385743,0.000623288,0.005779092],"genre_scores_gemma":[0.9561403,0.0005757185,0.04181437,0.00006064893,0.00004617757,0.000105339,0.0002842668,0.0001979418,0.0007752886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001924076,"threshold_uncertainty_score":0.008593678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2881266929211115,"score_gpt":0.4609745059061524,"score_spread":0.1728478129850409,"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."}}