{"id":"W3060207886","doi":"10.1016/j.visres.2020.07.013","title":"Do eye movements enhance visual memory retrieval?","year":2020,"lang":"en","type":"article","venue":"Vision Research","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Saccade; Fixation (population genetics); Eye movement; Gaze; Microsaccade; Psychology; Cognitive psychology; Object (grammar); Visual search; Communication; Computer science; Computer vision; Saccadic masking; Artificial intelligence; Neuroscience; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001204241,0.0001079938,0.0001515363,0.0002207453,0.000256045,0.0002083915,0.001499018,0.0001054768,0.0001148184],"category_scores_gemma":[0.0006120416,0.00009414055,0.00004689513,0.001625567,0.0001546773,0.0002169705,0.001167668,0.000639304,0.001253568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004808564,"about_ca_system_score_gemma":0.00008680358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001107556,"about_ca_topic_score_gemma":5.286141e-7,"domain_scores_codex":[0.9972655,0.0002441251,0.0002003364,0.0006720176,0.001097348,0.0005206656],"domain_scores_gemma":[0.9987715,0.0001842681,0.00004146535,0.0005180734,0.0002891475,0.0001955105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001470573,0.0004744652,0.002599581,0.00008542315,0.00004012964,0.0002916917,0.001179087,0.00002326294,0.3805809,0.0172944,0.04543934,0.5518447],"study_design_scores_gemma":[0.001511585,0.003994058,0.03875546,0.0001831236,0.000003430753,0.000004363932,0.0004837544,0.06870815,0.7986528,0.009030346,0.07793763,0.0007352867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.823128,0.0004443486,0.1296609,0.03545488,0.0003325127,0.0004772384,0.000003652534,0.0008959798,0.009602451],"genre_scores_gemma":[0.9949626,0.00003518536,0.003180685,0.0004654763,0.00007707802,0.000007051818,0.000001081923,0.00001063537,0.001260195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5511093,"threshold_uncertainty_score":0.9995241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07440803606162828,"score_gpt":0.4406930778566176,"score_spread":0.3662850417949893,"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."}}