{"id":"W2795301765","doi":"10.1016/j.cortex.2020.05.023","title":"Structural organization of the praxis network predicts gesture production: Evidence from healthy subjects and patients with schizophrenia","year":2020,"lang":"en","type":"article","venue":"Cortex","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Gottfried und Julia Bangerter-Rhyner-Stiftung; National Alliance for Research on Schizophrenia and Depression; Brain and Behavior Research Foundation; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Gesture; Diffusion MRI; Psychology; Apraxia; Arcuate fasciculus; Corpus callosum; White matter; Cognitive psychology; Neuroscience; Magnetic resonance imaging; Tractography; Medicine; Aphasia; Radiology; Computer science; Artificial intelligence","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":[0.0003604177,0.0003412129,0.0002679006,0.0007752351,0.0003535348,0.0004421961,0.0001934362,0.0002830612,0.002160232],"category_scores_gemma":[0.001616906,0.0002280066,0.0001829617,0.0003214865,0.0006246444,0.0003719474,0.0005077004,0.0002672646,0.000180697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002946533,"about_ca_system_score_gemma":0.0002237946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0075023,"about_ca_topic_score_gemma":0.01289927,"domain_scores_codex":[0.9998878,0.00002087114,0.00001396188,0.0000381406,0.00001784012,0.00002128656],"domain_scores_gemma":[0.9993308,0.0001449583,0.0002777007,0.00006871836,0.00004804672,0.0001299429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008586156,0.00008738372,0.9810605,0.00004216302,0.0001161882,0.0005539891,0.0013761,0.0002925929,0.00980479,0.0001352749,0.0001190507,0.005553439],"study_design_scores_gemma":[0.00001331007,0.00005633509,0.9988089,0.000004720745,0.00001643186,0.0002477775,0.0002608103,0.0002399319,0.0001743321,0.0001219681,0.00005228222,0.000003350129],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996661,0.00003545768,0.00005553609,0.00001846637,7.01007e-7,0.000003337009,0.00008504889,0.000001635134,0.000133734],"genre_scores_gemma":[0.9997062,0.00004104813,0.00005229547,0.000006135235,0.000001437904,0.000003583938,0.0001270369,0.000001341206,0.00006087702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0075023,"threshold_uncertainty_score":0.01491725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129200089862441,"score_gpt":0.2435939764214318,"score_spread":0.2223019755228074,"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."}}