{"id":"W3123542521","doi":"10.1101/2021.01.26.428161","title":"Resting State Functional Connectivity Predicts Future Changes in Sedentary Behavior","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute on Aging; National Institutes of Health","keywords":"Psychology; Anterior cingulate cortex; Intervention (counseling); Insula; Physical medicine and rehabilitation; Cognition; Resting state fMRI; Cognitive psychology; Medicine; Neuroscience; Psychiatry","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":[0.0004627302,0.0002231162,0.0001623838,0.0003137998,0.0001491313,0.0004009387,0.0001952554,0.0003748315,0.00190026],"category_scores_gemma":[0.00269065,0.0001267399,0.0002131918,0.0002193051,0.0001814319,0.0002525115,0.0001873696,0.0003801613,0.0002389982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320542,"about_ca_system_score_gemma":0.000113537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003182516,"about_ca_topic_score_gemma":0.005970783,"domain_scores_codex":[0.9999012,0.00002772481,0.000006438602,0.00003789417,0.0000110511,0.00001565577],"domain_scores_gemma":[0.9991141,0.0003997325,0.0002042989,0.00009425867,0.00007493794,0.0001127161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004646503,0.0002860777,0.9817778,0.00001740423,0.0002586213,0.0001113675,0.0001452588,0.001873575,0.005783356,0.0001661032,0.0005765915,0.008539069],"study_design_scores_gemma":[0.000004568665,0.00006697004,0.996186,0.000002808409,0.00002078784,0.0000710531,0.00002549848,0.003188982,0.0002045628,0.0001683887,0.00005684291,0.000003496566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998666,0.00003367164,0.0006084759,0.00004561524,0.000003938819,0.000003577649,0.0003435585,0.00001086908,0.000284271],"genre_scores_gemma":[0.9989704,0.00002227351,0.0003173123,0.000009570046,0.000005115598,0.000006875535,0.0005090292,0.00000316514,0.0001562215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003182516,"threshold_uncertainty_score":0.006357014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318639186510311,"score_gpt":0.2366738267041663,"score_spread":0.2034874348390632,"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."}}