{"id":"W7066810061","doi":"","title":"Joint source based brain imaging analysis for classification of individuals","year":2014,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroimaging; Pattern recognition (psychology); Feature (linguistics); Brain activity and meditation; Representation (politics); Independent component analysis; Reliability (semiconductor); Functional magnetic resonance imaging; Joint (building)","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":[0.002377402,0.0007596532,0.000811799,0.002726902,0.0002767681,0.000647713,0.0005101225,0.0007351895,0.00100902],"category_scores_gemma":[0.00368492,0.0001927241,0.001176165,0.001211759,0.0005339832,0.0007094496,0.0007960413,0.0007468822,0.0003438557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002516806,"about_ca_system_score_gemma":0.0004050443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007769375,"about_ca_topic_score_gemma":0.001153349,"domain_scores_codex":[0.9992538,0.000302961,0.00004870373,0.0001888104,0.0001451002,0.00006060467],"domain_scores_gemma":[0.9983671,0.0008143963,0.0002543758,0.0002863629,0.0002246178,0.00005323136],"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":[0.0005340188,0.0003673528,0.03382927,0.0002980425,0.0006681929,0.000374204,0.0005384197,0.07963439,0.08542009,0.01190426,0.003875993,0.7825558],"study_design_scores_gemma":[0.00004071877,0.0003078914,0.05142425,0.00005681163,0.0002372249,0.0005093088,0.0002627429,0.8769017,0.01684124,0.04991087,0.003418896,0.00008831573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05522216,0.0005775799,0.9423692,0.0003349593,0.00003451834,0.00007821989,0.0003914153,0.0003789972,0.000612987],"genre_scores_gemma":[0.6056685,0.0004914406,0.3915191,0.0001388821,0.0001351545,0.0001890056,0.001002654,0.00009149733,0.0007637354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002726902,"threshold_uncertainty_score":0.01257306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432043263073992,"score_gpt":0.2068514520299762,"score_spread":0.1825310193992363,"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."}}