{"id":"W3096095826","doi":"10.1167/jov.20.11.782","title":"Divergent effects of positive and negative cueing on target enhancement and distractor suppression","year":2020,"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":"Brock University","funders":"","keywords":"Cued speech; Visual search; Psychology; N2pc; Selective attention; Cognitive psychology; Task (project management); Set (abstract data type); Contrast (vision); Visual attention; Neuroscience; Perception; Cognition; Computer science; 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":[0.0006055012,0.0005402077,0.0003841807,0.0002656942,0.0001120794,0.0003231557,0.0001965715,0.0002774915,0.00100347],"category_scores_gemma":[0.006349584,0.0002228679,0.0001605795,0.0001359999,0.0003845378,0.0003161604,0.0005722907,0.0004654992,0.0001203158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310928,"about_ca_system_score_gemma":0.0002332366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009413662,"about_ca_topic_score_gemma":0.0009750837,"domain_scores_codex":[0.9996159,0.00006451247,0.00004431421,0.00009065498,0.0001337353,0.00005087398],"domain_scores_gemma":[0.9961578,0.002324145,0.0005853481,0.000255676,0.0003156711,0.0003614103],"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":[0.003326002,0.00009427161,0.003640583,0.0001475629,0.00001997399,0.0001145987,0.0001966368,0.0001504624,0.9821489,0.0001223091,0.00003643455,0.01000214],"study_design_scores_gemma":[0.0002906214,0.004005627,0.4659368,0.00006696158,0.0001514273,0.001217551,0.00030612,0.004154735,0.5214776,0.00135036,0.0009890926,0.00005325473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976187,0.0002612546,0.001004384,0.00001731522,0.00001074604,0.00002490771,0.00003492009,0.00001862611,0.001009229],"genre_scores_gemma":[0.9980651,0.00012988,0.001228307,0.00004012288,0.000007382356,0.00003299386,0.00006108476,0.00003471548,0.0004004597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00100347,"threshold_uncertainty_score":0.003356934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04962189002658135,"score_gpt":0.3598841996966613,"score_spread":0.3102623096700799,"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."}}