{"id":"W2060350069","doi":"10.1007/s10633-014-9439-9","title":"A frequency-tagging electrophysiological method to identify central and peripheral visual field deficits","year":2014,"lang":"en","type":"article","venue":"Documenta Ophthalmologica","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé","keywords":"Audiology; Electrophysiology; Gaze; Visual field; Peripheral; Evoked potential; Psychology; Visual evoked potentials; Neuroscience; Medicine; Internal 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":[0.00009671861,0.00023952,0.0002760221,0.00008321035,0.0003518388,0.000198742,0.0002696322,0.0001200394,0.001427257],"category_scores_gemma":[0.0006652101,0.0001921371,0.000100347,0.0001934932,0.00005456735,0.0002716539,0.0001501552,0.0003355273,0.00009635513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006502023,"about_ca_system_score_gemma":0.00001233124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009954091,"about_ca_topic_score_gemma":0.000001293605,"domain_scores_codex":[0.997699,0.0004735194,0.0002712174,0.0007126343,0.0002095477,0.0006340827],"domain_scores_gemma":[0.9987324,0.0007139702,0.00008406586,0.0002194873,0.00002132561,0.0002287554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001024705,0.0001070407,0.001008333,0.000004756571,0.00000668461,0.0001139476,0.0001198614,0.00005474991,0.9904526,0.005247101,0.0002483211,0.002534077],"study_design_scores_gemma":[0.0007608356,0.005301865,0.03219419,0.00003865138,0.00003638491,0.003567501,0.0002977478,0.002019744,0.9353313,0.013103,0.006369842,0.0009789313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837832,0.00000832681,0.004230437,0.001068113,0.0003046071,0.0002610539,0.000005145519,0.00011775,0.01022139],"genre_scores_gemma":[0.9912508,0.00001371932,0.003203786,0.004967908,0.0001462132,0.00004674541,0.000003189506,0.00001492689,0.0003527851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05512135,"threshold_uncertainty_score":0.9994856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03506571021514266,"score_gpt":0.37784776150266,"score_spread":0.3427820512875173,"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."}}