{"id":"W2896765169","doi":"10.3389/fpsyg.2018.01960","title":"Addressing the Language Binding Problem With Dynamic Functional Connectivity During Meaningful Spoken Language Comprehension","year":2018,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University Health Network; University of Toronto; SickKids Foundation; Ontario Brain Institute; Hospital for Sick Children","funders":"College of Engineering, Michigan State University; University of Oregon; Ontario Brain Institute; Epilepsy Research Program of the Ontario Brain Institute; Michigan State University","keywords":"Comprehension; Spoken language; Psychology; Linguistics; Natural language processing; Cognitive psychology; Communication; Artificial intelligence; Cognitive science; Computer science","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":[0.0008189744,0.0002037234,0.0002479753,0.000242177,0.0002608591,0.0004724658,0.0002125748,0.0004053871,0.001250125],"category_scores_gemma":[0.00506191,0.0002062584,0.00008190238,0.0001908559,0.0008898582,0.001512607,0.0007546829,0.0005122977,0.0001069291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001848743,"about_ca_system_score_gemma":0.0002086908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006317882,"about_ca_topic_score_gemma":0.001802533,"domain_scores_codex":[0.9996825,0.0000963963,0.00002371543,0.0001039134,0.00005723364,0.00003629993],"domain_scores_gemma":[0.9981754,0.001021391,0.0004342227,0.0001399477,0.0001489221,0.00008013025],"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":[0.0003704649,0.0001068042,0.07170727,0.0003951934,0.000122823,0.0007258381,0.008598764,0.0009705398,0.8180428,0.004159919,0.0004352271,0.09436449],"study_design_scores_gemma":[0.00003274693,0.0007910502,0.8770826,0.00009158442,0.00008794855,0.001641293,0.007392829,0.006625647,0.07425459,0.02925237,0.002680313,0.00006706468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855137,0.0004317645,0.01239479,0.000521843,0.00001559023,0.0000102591,0.00003569259,0.00002101105,0.001055287],"genre_scores_gemma":[0.9958218,0.0001548652,0.003705801,0.00006947687,0.00001192696,0.00001337371,0.00002550155,0.00001046423,0.000186786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001250125,"threshold_uncertainty_score":0.004331172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04507275564465123,"score_gpt":0.3282556465911269,"score_spread":0.2831828909464757,"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."}}