{"id":"W7109975540","doi":"10.7554/elife.108788.1","title":"Frequency-selective contrast sensitivity modulation driven by fine-tuned exogenous attention at the foveal scale","year":2025,"lang":"","type":"article","venue":"eLife","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Foveal; Contrast (vision); Spatial frequency; Salient; Modulation (music); Sensitivity (control systems); Fovea centralis; Scale (ratio)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001134193,0.0004274519,0.0004244352,0.0001920193,0.001809637,0.0003935626,0.0004307771,0.0002912341,0.00008825165],"category_scores_gemma":[0.0001587809,0.0003790742,0.0003447088,0.00136004,0.0002785487,0.0006787725,0.0003539906,0.0004693034,0.0004025343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006894929,"about_ca_system_score_gemma":0.0002246884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004782937,"about_ca_topic_score_gemma":0.001921788,"domain_scores_codex":[0.9955426,0.00106126,0.0007484226,0.001090162,0.0008753113,0.0006821801],"domain_scores_gemma":[0.9978054,0.0002161242,0.0004023584,0.0007545754,0.0006612607,0.0001603408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000172285,0.0008755371,0.04165344,0.00007390403,0.0003249439,0.00002122048,0.002274201,0.001799666,0.8537917,0.002337315,0.01660564,0.08007015],"study_design_scores_gemma":[0.002002378,0.0004082602,0.42955,0.0001582138,0.0001524045,0.0000550267,0.0001865995,0.4722853,0.09285693,0.0009388105,0.0006931802,0.0007128819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6776258,0.0003034351,0.3146634,0.002849597,0.002306106,0.0008109716,0.00005272158,0.0001528349,0.001235093],"genre_scores_gemma":[0.9925418,0.00006382535,0.0002732678,0.0009257187,0.0002083864,0.00005451284,0.00006003792,0.00002097597,0.005851485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7609348,"threshold_uncertainty_score":0.9998661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102386116197648,"score_gpt":0.2564946963191077,"score_spread":0.2462560846993429,"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."}}