{"id":"W6999011211","doi":"","title":"Body posture alters brain imaging data","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Mind and Life Institute; Mitacs; Canadian Institutes of Health Research; Fundação Bial; Volkswagen Foundation","keywords":"Neuroimaging; Supine position; Sitting; Brain activity and meditation; Functional magnetic resonance imaging; Cognition; Functional neuroimaging; Body posture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001614832,0.0005574216,0.0004570152,0.0008250531,0.0004040749,0.001443869,0.0005625219,0.0006936312,0.003802175],"category_scores_gemma":[0.00993899,0.0003120626,0.0003954476,0.0009743428,0.0006749198,0.0008315634,0.0007268494,0.0005488482,0.001157485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003025375,"about_ca_system_score_gemma":0.0002278666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006426549,"about_ca_topic_score_gemma":0.0013061,"domain_scores_codex":[0.9982339,0.0005042101,0.0002112807,0.0004442774,0.000457184,0.0001492045],"domain_scores_gemma":[0.9960477,0.001629094,0.0008823772,0.0005732306,0.0007657041,0.0001019216],"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":[0.002859824,0.0002181892,0.1481538,0.00233693,0.0008963291,0.002465684,0.004284141,0.002030527,0.502097,0.003181561,0.0102595,0.3212165],"study_design_scores_gemma":[0.00005920404,0.0006722059,0.9228234,0.0003439823,0.0004165499,0.003747494,0.001459767,0.002561041,0.0490417,0.004911273,0.0138519,0.0001114702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096969,0.005197398,0.05799126,0.002876142,0.001313266,0.0002759092,0.004961369,0.0008788477,0.01680897],"genre_scores_gemma":[0.9713092,0.002117401,0.01922461,0.001608052,0.0004712533,0.0002210994,0.00262994,0.0002937519,0.002124586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003802175,"threshold_uncertainty_score":0.01271957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250260207397671,"score_gpt":0.3121395543343707,"score_spread":0.279636952260394,"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."}}