{"id":"W2029176470","doi":"10.1167/11.11.128","title":"Individual differences in object-based attention effects in discrimination and detection tasks","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College; York University; McMaster University","funders":"","keywords":"Horizontal and vertical; Psychology; Bootstrapping (finance); Cognitive psychology; Task (project management); Orientation (vector space); Object (grammar); Computer science; Communication; Artificial intelligence; Mathematics; Geometry","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":[0.001652783,0.0003262743,0.000583309,0.0005242926,0.0001908303,0.0004674053,0.0002188804,0.000389879,0.00342775],"category_scores_gemma":[0.008447105,0.0002121461,0.0002734858,0.0002967188,0.0003935336,0.0004972784,0.0006266151,0.0005905064,0.0005164903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156208,"about_ca_system_score_gemma":0.0001263448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008417412,"about_ca_topic_score_gemma":0.001139443,"domain_scores_codex":[0.9989956,0.0001633605,0.0001154363,0.0003119734,0.0003151975,0.00009842693],"domain_scores_gemma":[0.9945701,0.003433297,0.0006494657,0.000552584,0.0005107474,0.0002837262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004970432,0.0007621206,0.1619254,0.0004521814,0.0003167487,0.000343897,0.004023402,0.0006401382,0.7528812,0.0007516109,0.001245115,0.07168773],"study_design_scores_gemma":[0.00004052271,0.0007803029,0.9818043,0.00001110528,0.00004741432,0.0002278235,0.0001737874,0.0006568312,0.01492183,0.0005895079,0.0007224802,0.00002405106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931828,0.0003333829,0.002711439,0.00003834333,0.00004508811,0.00008104883,0.0002004899,0.00004943815,0.003357831],"genre_scores_gemma":[0.99678,0.00008158189,0.001261079,0.00006935469,0.00001898377,0.00009776886,0.0002277875,0.0000498325,0.001413611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00342775,"threshold_uncertainty_score":0.01146692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06939269159158754,"score_gpt":0.3257855703731348,"score_spread":0.2563928787815473,"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."}}