{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000133467,0.0002163628,0.0002567309,0.0002535143,0.00007837381,0.0001373804,0.00009775819,0.000198969,0.0007968746],"category_scores_gemma":[0.001503356,0.000119802,0.000153819,0.0001175442,0.0001988211,0.0001145989,0.0002261547,0.0001998503,0.000128429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378957,"about_ca_system_score_gemma":0.0001342058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001742388,"about_ca_topic_score_gemma":0.001989838,"domain_scores_codex":[0.9999089,0.00002577753,0.000008604045,0.00001426057,0.00002143168,0.00002099596],"domain_scores_gemma":[0.9997655,0.000107174,0.00004104633,0.00003872116,0.00001541605,0.00003231296],"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":[0.009046813,0.00062662,0.07571153,0.0001457062,0.0001959728,0.003105302,0.0007284641,0.02135543,0.8478057,0.000329901,0.0005408173,0.04040778],"study_design_scores_gemma":[0.0003224718,0.007335952,0.8696944,0.00001977907,0.00006030599,0.007126185,0.000230987,0.03683874,0.07654003,0.0008953288,0.0008695131,0.00006636456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995288,0.00002623872,0.0002762707,0.000005611493,0.000001070875,0.000004807699,0.00002489429,0.00001218629,0.0001200888],"genre_scores_gemma":[0.9996501,0.00001751988,0.0001928666,0.000005142742,5.72463e-7,0.00000589634,0.000036519,0.000003006465,0.0000883172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001742388,"threshold_uncertainty_score":0.00346446,"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."}}