{"id":"W2053838731","doi":"10.1016/j.neuroimage.2014.05.013","title":"Highcor: A novel data-driven regressor identification method for BOLD fMRI","year":2014,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Voxel; Computer science; Pattern recognition (psychology); Artificial intelligence; Data set; Set (abstract data type); Standard deviation; Principal component analysis; Mathematics; Statistics","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":[0.002411732,0.001696323,0.001298244,0.001351632,0.0007021065,0.001211283,0.001888009,0.001548566,0.006862039],"category_scores_gemma":[0.004841564,0.0009130904,0.001538477,0.001226838,0.0004107027,0.001144164,0.001687674,0.002222162,0.004464536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003478407,"about_ca_system_score_gemma":0.001802101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003455769,"about_ca_topic_score_gemma":0.01078707,"domain_scores_codex":[0.9992793,0.0002279672,0.00004261468,0.0001570552,0.0002251897,0.00006786746],"domain_scores_gemma":[0.998541,0.0006821518,0.00009455095,0.0002550741,0.0003435666,0.00008373793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006963227,0.0003183374,0.001443404,0.0004395208,0.0005450553,0.000326829,0.0001260889,0.02939375,0.09485567,0.00960634,0.02992397,0.8323246],"study_design_scores_gemma":[0.0001548732,0.0001769276,0.002616243,0.00004748541,0.0001504288,0.000539354,0.00003875303,0.8915675,0.06097653,0.01504014,0.02852088,0.0001708506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001578044,0.0001153481,0.9933488,0.00005050669,0.00005109815,0.00004722973,0.0002699835,0.004360584,0.0001783594],"genre_scores_gemma":[0.02009696,0.0001643366,0.973796,0.0001549954,0.00008739662,0.0002858364,0.001249038,0.001904026,0.002261386],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006862039,"threshold_uncertainty_score":0.02295583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283276727744523,"score_gpt":0.3558013125387052,"score_spread":0.2274736397642529,"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."}}