{"id":"W2892442773","doi":"10.1167/18.10.16","title":"Attentional Selection of Multiple Correlation Ensembles","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hue; Correlation; Artificial intelligence; Perception; Pattern recognition (psychology); Luminance; Visual search; Color space; Selection (genetic algorithm); Computer science; Psychology; Mathematics","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":[0.0009133327,0.0004134651,0.0005660728,0.0004703942,0.0004731466,0.001081585,0.0005672008,0.0003528488,0.002201621],"category_scores_gemma":[0.004842633,0.0003919026,0.0005325751,0.0002539827,0.0002835385,0.00125137,0.002081571,0.0006663923,0.000405902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005917896,"about_ca_system_score_gemma":0.0004823152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001889075,"about_ca_topic_score_gemma":0.002682551,"domain_scores_codex":[0.9991304,0.0000985456,0.00003561415,0.000334724,0.0002469294,0.0001537483],"domain_scores_gemma":[0.9986548,0.0004668399,0.0001404485,0.0002398171,0.0002642498,0.0002337396],"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":[0.0006489473,0.0001590545,0.02431,0.0001712336,0.0001884411,0.0001873125,0.0007802141,0.003841145,0.7632539,0.004655176,0.001940971,0.1998636],"study_design_scores_gemma":[0.0001996693,0.001417159,0.4962665,0.0001490495,0.0006398272,0.001061679,0.0006947338,0.2189329,0.2397319,0.0289597,0.01174895,0.0001978358],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252448,0.0005591792,0.06253584,0.0002500992,0.0001103494,0.00006233482,0.00007587142,0.0003509651,0.01081067],"genre_scores_gemma":[0.9880697,0.0001459721,0.01002243,0.0001606515,0.00004319496,0.00003768707,0.00009879395,0.00009712214,0.001324359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002201621,"threshold_uncertainty_score":0.007365167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576849152056349,"score_gpt":0.361978598011875,"score_spread":0.3262101064913115,"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."}}