{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006692787,0.0007329856,0.0002641978,0.001555931,0.0004440315,0.0006091699,0.0005270437,0.001051694,0.002537167],"category_scores_gemma":[0.001127515,0.000255431,0.0004081945,0.0005414485,0.0005108246,0.001211349,0.0005461596,0.0009578294,0.0009381982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002027514,"about_ca_system_score_gemma":0.000414296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006539031,"about_ca_topic_score_gemma":0.002015381,"domain_scores_codex":[0.9997188,0.00005116836,0.00002938817,0.00009174563,0.00007440431,0.00003443803],"domain_scores_gemma":[0.9994258,0.0001972886,0.00007310796,0.00009740521,0.0001465056,0.0000598186],"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":[0.0002602932,0.0001045797,0.002125071,0.0001060867,0.00003302664,0.0003903186,0.00003390888,0.0001260887,0.9201021,0.0008922974,0.0003936627,0.07543264],"study_design_scores_gemma":[0.000152904,0.001668438,0.08109698,0.000159686,0.0003461269,0.02880873,0.0002189322,0.02012568,0.853393,0.004828342,0.009041455,0.0001597998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1850815,0.002833598,0.8045014,0.0003296502,0.0003923981,0.0003729238,0.0007550555,0.00088375,0.004849755],"genre_scores_gemma":[0.5736991,0.001990245,0.4174105,0.0004801484,0.0001226493,0.0004713322,0.0004390928,0.0001581241,0.005228871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002537167,"threshold_uncertainty_score":0.008487642,"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."}}