{"id":"W2104358003","doi":"10.1093/cercor/bhq221","title":"Rapid Adaptation of Visual Search in Simulated Hemianopia","year":2010,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Visual search; Hemianopsia; Fixation (population genetics); Eye movement; Visual field; Gaze; Perception; Adaptation (eye); Psychology; Blind spot; Visual perception; Eye tracking; Cognitive psychology; Audiology; Computer science; Artificial intelligence; Neuroscience; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0001314463,0.00008393016,0.0001275878,0.0001181632,0.00003929664,0.00001815781,0.0001262634,0.00007316621,0.0003192134],"category_scores_gemma":[0.0002450919,0.00007879878,0.00003901629,0.0002950764,0.00006490737,0.0001758953,0.00002437548,0.0002313058,0.00004403273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001179864,"about_ca_system_score_gemma":0.00005802327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001787958,"about_ca_topic_score_gemma":0.0001552621,"domain_scores_codex":[0.9990504,0.0000672453,0.0002308891,0.0002338477,0.0002309723,0.0001866296],"domain_scores_gemma":[0.9995717,0.0001280964,0.00006793013,0.0001287999,0.00004704276,0.00005647295],"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":[0.00006693553,0.00007193988,0.001777337,0.00001008935,9.916124e-7,0.000005595998,0.0002586489,0.0005683822,0.9679883,0.001449805,0.000003477491,0.02779847],"study_design_scores_gemma":[0.001850106,0.0002483358,0.1960779,0.00001735315,0.000005445878,0.0000051354,0.0001217314,0.5972133,0.2032474,0.0003674748,0.0006608078,0.000185092],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980922,0.000008420183,0.0002568263,0.00008019307,0.0002245538,0.0002058555,0.000004926488,0.00003346293,0.001093599],"genre_scores_gemma":[0.9994676,0.000003721914,0.00008879311,0.0001086547,0.00004985909,0.000003140692,0.00000638082,0.00001037177,0.0002615488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7647409,"threshold_uncertainty_score":0.3495163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03228088812229622,"score_gpt":0.2831489349468864,"score_spread":0.2508680468245902,"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."}}