{"id":"W4412458965","doi":"10.1167/jov.25.9.2100","title":"Exploring the different roles of fixations in an active visual search task","year":2025,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Visual search; Task (project management); Cognitive psychology; Psychology; Active vision; Computer science; Artificial intelligence; Engineering","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":[0.000842113,0.0004288081,0.0004282678,0.0006780209,0.0001991028,0.000615708,0.0003620279,0.0004886844,0.0007706599],"category_scores_gemma":[0.006385467,0.0002682206,0.0002071103,0.0004891588,0.0002728819,0.0006427434,0.000420819,0.0003443507,0.0001275319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002966911,"about_ca_system_score_gemma":0.0002193264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002502306,"about_ca_topic_score_gemma":0.003152353,"domain_scores_codex":[0.9995762,0.0001122793,0.00004260869,0.000120471,0.00009926839,0.00004920369],"domain_scores_gemma":[0.9960307,0.002675266,0.0005909418,0.0002022572,0.0002758339,0.0002249887],"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":[0.004975046,0.0004375263,0.04830805,0.0004481688,0.0001622318,0.0002091356,0.002142903,0.001230188,0.8866168,0.0006104469,0.0003065193,0.05455291],"study_design_scores_gemma":[0.0002294037,0.003556098,0.9148455,0.00007553094,0.0002003268,0.0003501429,0.000764691,0.01628339,0.06192047,0.0009386419,0.000732665,0.0001030949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947304,0.0001883254,0.004206921,0.00001670453,0.000008994419,0.00004028021,0.0001197326,0.00003592042,0.0006526469],"genre_scores_gemma":[0.9960843,0.0001184804,0.002904347,0.00002492893,0.000009866708,0.00006613978,0.0001947502,0.0000276829,0.0005695043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002502306,"threshold_uncertainty_score":0.004975498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09225515050716046,"score_gpt":0.4425541629920802,"score_spread":0.3502990124849197,"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."}}