{"id":"W2345323676","doi":"10.1007/s00426-016-0771-4","title":"Interaction between numbers and size during visual search","year":2016,"lang":"en","type":"article","venue":"Psychological Research","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Radboud Universiteit","keywords":"Visual search; Display size; Perception; Contrast (vision); Representation (politics); Task (project management); Computer science; Visual perception; Cognition; Numerosity adaptation effect; Cognitive psychology; Pattern recognition (psychology); Mathematics; Psychology; Artificial intelligence","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":[0.000705694,0.0002630175,0.0004196913,0.0004439819,0.0001594302,0.0008864352,0.0003157929,0.0003537015,0.002442096],"category_scores_gemma":[0.01865944,0.0003026674,0.0001867884,0.0003594651,0.0004239294,0.001513782,0.0009009994,0.0003076199,0.000259176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002372056,"about_ca_system_score_gemma":0.0003118407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006210743,"about_ca_topic_score_gemma":0.0005028654,"domain_scores_codex":[0.9988872,0.0002879884,0.00008398647,0.0002978391,0.000379736,0.0000632211],"domain_scores_gemma":[0.9888682,0.008527023,0.001562235,0.0004215621,0.0003147295,0.0003061602],"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":[0.003873631,0.000193448,0.02962809,0.0005612983,0.00006567417,0.0003985287,0.001171359,0.001532699,0.9025233,0.002854454,0.0002448458,0.05695258],"study_design_scores_gemma":[0.0003017257,0.002439434,0.8734783,0.00008750789,0.0002031688,0.001660815,0.0005548904,0.01476947,0.09524256,0.00835218,0.002773657,0.0001362834],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923398,0.0003981134,0.003891708,0.000049023,0.00002016133,0.00001846481,0.00004544211,0.00005025725,0.003187047],"genre_scores_gemma":[0.9960718,0.0001131658,0.003053287,0.00002637936,0.00001298109,0.00002199812,0.00005654807,0.00004770411,0.0005961751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002442096,"threshold_uncertainty_score":0.008169591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2375869136951592,"score_gpt":0.5254043295888277,"score_spread":0.2878174158936685,"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."}}