{"id":"W4294783310","doi":"10.1093/cercor/bhac344","title":"Physical distance to sensory-motor landmarks predicts language function","year":2022,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McGill University; McGill Genome Centre","funders":"Institute of Psychology, Chinese Academy of Sciences; National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Sensory system; Psychology; Cognition; Neuroscience; Sensory cortex; Comprehension; Functional magnetic resonance imaging; Cognitive psychology; Computer science","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":[0.0003064662,0.0001989178,0.0001952788,0.0003540964,0.0001077256,0.0004206329,0.000123806,0.0002983081,0.003111671],"category_scores_gemma":[0.001756098,0.0001384133,0.0001371428,0.0001393878,0.0003856012,0.0002904407,0.0003067509,0.0002666581,0.0003258907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117609,"about_ca_system_score_gemma":0.0000859804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009046325,"about_ca_topic_score_gemma":0.001734434,"domain_scores_codex":[0.999895,0.00002141203,0.000008168437,0.00003950463,0.00001626478,0.00001968913],"domain_scores_gemma":[0.999064,0.000387794,0.0002782078,0.00006865319,0.00004509352,0.0001562369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001267532,0.0001944403,0.83398,0.00006220266,0.0001604157,0.0004747119,0.001018891,0.001341573,0.1515347,0.0002628977,0.0001653051,0.009537146],"study_design_scores_gemma":[0.000003581555,0.00005715707,0.9975439,0.000001953856,0.000006945906,0.0001487121,0.00009730742,0.0007354034,0.001221811,0.0001516832,0.00002868567,0.000002936121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999545,0.0000132659,0.0001332103,0.00001256019,6.85634e-7,0.000001144755,0.00003365772,0.000003128256,0.0002572763],"genre_scores_gemma":[0.9997705,0.000008553458,0.00006751056,0.000003518228,8.405864e-7,0.000002055839,0.00003270244,0.00000198129,0.0001123742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003111671,"threshold_uncertainty_score":0.01040953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562576832199686,"score_gpt":0.2637283591592245,"score_spread":0.2481025908372277,"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."}}