{"id":"W2057916259","doi":"10.1371/journal.pone.0099681","title":"Attentional Modulation and Selection – An Integrated Approach","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Visual cortex; Stimulus (psychology); Neuroscience; Computer science; Modulation (music); Selection (genetic algorithm); Mechanism (biology); Selective attention; Neural activity; Neuron; Artificial intelligence; Psychology; Cognitive psychology; Physics; Cognition","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006902918,0.0005180059,0.001085249,0.0008429403,0.0003649193,0.001598084,0.001735761,0.001137772,0.002970527],"category_scores_gemma":[0.001447874,0.0004329776,0.001015285,0.0005736786,0.001074179,0.002800836,0.00154656,0.0009786017,0.0004666114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063313,"about_ca_system_score_gemma":0.0005920973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001713097,"about_ca_topic_score_gemma":0.000996856,"domain_scores_codex":[0.9995624,0.0000992658,0.00002163013,0.0001024745,0.0001549838,0.00005906586],"domain_scores_gemma":[0.9996153,0.0001489053,0.0000408352,0.00007237698,0.00008579632,0.00003675986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009423225,0.00005096278,0.0008380556,0.0001939354,0.0001419166,0.0002153803,0.0002447049,0.0669719,0.010105,0.8565868,0.00161093,0.06294625],"study_design_scores_gemma":[0.00002146913,0.00005261913,0.00137803,0.00004054018,0.00005490937,0.0001205379,0.00003562185,0.3494118,0.0008476341,0.6431642,0.004837796,0.00003489813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04567542,0.01003751,0.8808761,0.003632339,0.0002741416,0.00006423554,0.0001344346,0.0002790284,0.05902685],"genre_scores_gemma":[0.8952951,0.006074,0.08555692,0.0006374317,0.0008320562,0.0001676927,0.0001037144,0.0001157321,0.01121739],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002970527,"threshold_uncertainty_score":0.009937346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06127066385732395,"score_gpt":0.2241147213454927,"score_spread":0.1628440574881687,"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."}}