{"id":"W1487335548","doi":"10.1038/72991","title":"A multimodal cortical network for the detection of changes in the sensory environment","year":2000,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Spatial Neglect and Hemispheric Dysfunction","field":"Neuroscience","cited_by":951,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Toronto Western Hospital","funders":"Medical Research Council; Fondation pour la Recherche Médicale; Whitehall Foundation","keywords":"Neuroscience; Sensory system; Somatosensory system; Functional magnetic resonance imaging; Psychology; Insula; Temporoparietal junction; Sensory processing; Cognition; Prefrontal cortex","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":[0.0007161645,0.0005269223,0.0003773063,0.0007965413,0.000502183,0.001155098,0.0006324283,0.0007405215,0.004260658],"category_scores_gemma":[0.002455836,0.0002873523,0.0003681479,0.0005548619,0.0006856642,0.0017693,0.001044166,0.0006587734,0.0006180621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005626499,"about_ca_system_score_gemma":0.0007594277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533124,"about_ca_topic_score_gemma":0.002032453,"domain_scores_codex":[0.9997512,0.00004932935,0.00001134756,0.00005277832,0.00006443838,0.00007096459],"domain_scores_gemma":[0.9991837,0.0002901542,0.0001172322,0.0001044674,0.0001839677,0.0001205901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007171978,0.0002373954,0.01504053,0.0002704145,0.0001966664,0.002106922,0.0007432589,0.009945585,0.7254894,0.02189636,0.005878879,0.2174773],"study_design_scores_gemma":[0.0003230478,0.001376013,0.4237943,0.0004156823,0.0006134575,0.009596581,0.001284821,0.15467,0.2607737,0.1266285,0.02027307,0.0002508735],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6535192,0.003450783,0.2990588,0.003554974,0.0003178325,0.0002006418,0.00137437,0.001316803,0.03720659],"genre_scores_gemma":[0.9710931,0.0009083452,0.02256326,0.0002545658,0.0001051549,0.0001646716,0.0002621236,0.00008157964,0.004567157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004260658,"threshold_uncertainty_score":0.01425332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830269008492254,"score_gpt":0.2526425712952726,"score_spread":0.23433988121035,"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."}}