{"id":"W2763424339","doi":"10.1080/07434618.2017.1381990","title":"Observing eye movements and the influence of cognition during a symbol search task: a comparison across three age groups","year":2017,"lang":"en","type":"article","venue":"Augmentative and Alternative Communication","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; University of Ottawa","funders":"","keywords":"Cognition; Task (project management); Eye movement; Symbol (formal); Cognitive psychology; Psychology; Eye tracking; Visual search; Communication; Computer science; Artificial intelligence; Neuroscience","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":[0.0002590552,0.0003379867,0.0002720628,0.0009714507,0.0001974047,0.0004163714,0.0001064954,0.0003071876,0.001093094],"category_scores_gemma":[0.001480262,0.0001178132,0.0003312471,0.000290833,0.0002457469,0.0003746822,0.0003281172,0.0002439724,0.0002935471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323993,"about_ca_system_score_gemma":0.0001195808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661699,"about_ca_topic_score_gemma":0.001867675,"domain_scores_codex":[0.9997708,0.00002435818,0.00003287011,0.00006510584,0.00005750016,0.000049413],"domain_scores_gemma":[0.9989306,0.0002842759,0.0003550674,0.00006000316,0.0001833712,0.0001866365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008607331,0.0003833027,0.9539741,0.00004256482,0.00009774623,0.0004463608,0.002124387,0.000090325,0.02329152,0.00004592787,0.00006556261,0.01857754],"study_design_scores_gemma":[0.000003611916,0.0003066113,0.9982761,0.000002229119,0.00001375739,0.0002032391,0.0003492816,0.00005494816,0.0006813236,0.00002419099,0.0000803884,0.000004265377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995393,0.00006510939,0.00008307406,0.000005491999,0.000002162128,0.000003456738,0.00003729921,0.000002178159,0.000261967],"genre_scores_gemma":[0.9994805,0.00004897713,0.00007931425,0.0000094466,0.000002890038,0.000006976668,0.00006093815,0.000001417461,0.0003095184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001661699,"threshold_uncertainty_score":0.003656745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2477774808432574,"score_gpt":0.471320306645398,"score_spread":0.2235428258021406,"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."}}