{"id":"W2460562411","doi":"10.1002/hbm.23285","title":"Dynamic functional connectivity shapes individual differences in associative learning","year":2016,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Montreal Neurological Institute and Hospital; Baycrest Hospital","funders":"Canadian Institutes of Health Research; James S. McDonnell Foundation","keywords":"Psychology; Dynamic functional connectivity; Cognition; Cognitive psychology; Neuroscience; Neuropsychology; Associative learning; Functional connectivity","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":[0.0002844631,0.0001668364,0.0002754931,0.0005083144,0.0001196711,0.0004188127,0.0001706369,0.0002330798,0.00138679],"category_scores_gemma":[0.002379004,0.0001948631,0.0001197703,0.0002493654,0.0003316332,0.0004061677,0.0004032022,0.0003237326,0.0001329471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001517707,"about_ca_system_score_gemma":0.0000929198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006903073,"about_ca_topic_score_gemma":0.001495103,"domain_scores_codex":[0.9998771,0.00002397216,0.000007436306,0.00005192634,0.00002187489,0.00001768218],"domain_scores_gemma":[0.9993786,0.0002149796,0.0002137088,0.00007974869,0.00004559449,0.00006726455],"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":[0.001158291,0.0004035988,0.2466009,0.0001649106,0.0006053192,0.000411592,0.0009734365,0.01194315,0.6433198,0.0027607,0.00155653,0.09010181],"study_design_scores_gemma":[0.00001398521,0.0001689275,0.9734028,0.000006128348,0.00004238852,0.000307338,0.00006690781,0.0158946,0.005587092,0.004091885,0.0004006767,0.00001728268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956477,0.00009234687,0.003257429,0.00004080957,0.000005536381,0.000008902462,0.0001640001,0.00003426847,0.0007488916],"genre_scores_gemma":[0.9985317,0.00004524641,0.0009248357,0.00001231984,0.0000047514,0.000009965179,0.0001852433,0.00001776401,0.0002680346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00138679,"threshold_uncertainty_score":0.004639268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08376222202942145,"score_gpt":0.2770748256660828,"score_spread":0.1933126036366613,"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."}}