{"id":"W6904390180","doi":"10.1371/journal.pone.0157443.s001","title":"Seed regions used to extract time-course for resting state analysis.","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resting state fMRI; State (computer science); Default mode network; Noise (video)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004203211,0.0008041008,0.0005218103,0.001487003,0.0006149614,0.0007201051,0.0007369954,0.0009273809,0.07939737],"category_scores_gemma":[0.003838038,0.0005688206,0.0007212266,0.001190636,0.0003002829,0.0006853614,0.0004860029,0.0009980296,0.01893709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003734303,"about_ca_system_score_gemma":0.001128398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009238423,"about_ca_topic_score_gemma":0.01844536,"domain_scores_codex":[0.9999141,0.0000080825,0.000007581171,0.00003348212,0.00002173315,0.00001500926],"domain_scores_gemma":[0.9994259,0.0002728993,0.00005447502,0.00007430998,0.0001289096,0.0000436119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002123385,0.0002292424,0.004827368,0.0023629,0.0003115149,0.001402949,0.000681336,0.01306838,0.1158001,0.009243217,0.5256582,0.3242914],"study_design_scores_gemma":[0.001493498,0.00101509,0.1490809,0.001620675,0.001369948,0.008711894,0.0006353769,0.1259953,0.2490024,0.04445285,0.4161093,0.0005127369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06927088,0.002741529,0.5388005,0.001209763,0.001586244,0.002316282,0.2884077,0.04641734,0.04924975],"genre_scores_gemma":[0.3155463,0.001415745,0.5093592,0.000673619,0.0002890256,0.005500205,0.1069452,0.02303024,0.03724043],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07939737,"threshold_uncertainty_score":0.2656107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1274393846172117,"score_gpt":0.3247778500720651,"score_spread":0.1973384654548533,"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."}}