{"id":"W2810996338","doi":"10.1167/10.7.535","title":"Line bisection in simulated homonymous hemianopia","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Spatial Neglect and Hemispheric Dysfunction","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bisection; Hemianopsia; Visual field; Fixation (population genetics); Extrastriate cortex; Bisection method; Line (geometry); Psychology; Computer science; Neuroscience; Cognitive psychology; Audiology; Visual cortex; Medicine; Mathematics; Algorithm; Geometry","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":[0.0001972347,0.0002973532,0.0002569366,0.0002665048,0.0001116782,0.0001017351,0.0001388283,0.0002779909,0.0008827051],"category_scores_gemma":[0.001007375,0.0001219221,0.0001223441,0.000120779,0.0002439284,0.0001324142,0.0003375219,0.0002964392,0.0001169724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002076743,"about_ca_system_score_gemma":0.0001429971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009978466,"about_ca_topic_score_gemma":0.001216218,"domain_scores_codex":[0.9998404,0.00005127248,0.00001428557,0.00003399677,0.00004494542,0.0000150702],"domain_scores_gemma":[0.9996358,0.0001648908,0.00008432334,0.00004887555,0.00002733128,0.00003880548],"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":[0.002930806,0.0004503482,0.007216803,0.0001025795,0.00003582766,0.000522376,0.0001522004,0.001334242,0.9790597,0.00009819882,0.0000793222,0.008017628],"study_design_scores_gemma":[0.0004366483,0.01960209,0.4288506,0.00003571895,0.00009718329,0.007206363,0.0002138713,0.02292424,0.5183228,0.0004551576,0.001798336,0.00005695985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989884,0.00008361041,0.0007230042,0.000007248326,0.000003222501,0.00001632568,0.00002559314,0.00001658481,0.0001359521],"genre_scores_gemma":[0.9988682,0.00008401347,0.0007173488,0.00001279953,0.00000234325,0.00001965836,0.00006217148,0.000006474044,0.0002269353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009978466,"threshold_uncertainty_score":0.002952993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134871047021844,"score_gpt":0.2928411968299433,"score_spread":0.2793540921277589,"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."}}