{"id":"W2468055430","doi":"10.1016/j.bandl.2016.09.007","title":"Bilateral parietal contributions to spatial language","year":2016,"lang":"en","type":"article","venue":"Brain and Language","topic":"Categorization, perception, and language","field":"Psychology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Institute on Deafness and Other Communication Disorders; Natural Sciences and Engineering Research Council of Canada; National Institute on Aging; National Institutes of Health","keywords":"Precuneus; Psychology; Functional magnetic resonance imaging; Cognitive psychology; Spatial ability; Spatial relation; Object (grammar); Spatial analysis; Lateralization of brain function; Neuroimaging; Communication; Linguistics; Neuroscience; Cognition; Artificial intelligence; 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":[0.0007265807,0.0007689235,0.0003602085,0.001513509,0.0004950591,0.001679078,0.0004797694,0.0009652513,0.02659464],"category_scores_gemma":[0.005234438,0.0003349625,0.0004938664,0.0007588628,0.001389832,0.001495851,0.001745068,0.0008976044,0.001958595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004037788,"about_ca_system_score_gemma":0.0007420498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001918112,"about_ca_topic_score_gemma":0.002924439,"domain_scores_codex":[0.9995365,0.00006762549,0.00002799474,0.00009960602,0.0001718654,0.00009646259],"domain_scores_gemma":[0.9981486,0.0009816685,0.0001916583,0.0003113972,0.0002055746,0.0001611264],"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":[0.002312429,0.0002305114,0.02354632,0.000701573,0.0003503197,0.0081911,0.002268931,0.002727362,0.6258011,0.06609914,0.005629108,0.2621421],"study_design_scores_gemma":[0.0009454829,0.0008282471,0.4902536,0.0004445684,0.0007680852,0.04008842,0.002995094,0.01241234,0.1230025,0.3014048,0.02670313,0.0001536603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8753163,0.004230065,0.02317106,0.005042713,0.0003689248,0.00005030296,0.001647449,0.0005986092,0.08957441],"genre_scores_gemma":[0.9909412,0.0006667246,0.00211182,0.0003684638,0.0002282894,0.00003465266,0.0002695219,0.00008843096,0.005290722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02659464,"threshold_uncertainty_score":0.08896792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006511771264166574,"score_gpt":0.3152145876036675,"score_spread":0.3087028163395009,"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."}}