{"id":"W2039856006","doi":"10.3791/3237","title":"Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis","year":2012,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University; Ontario Problem Gambling Research Centre","keywords":"Stroop effect; Cognitive psychology; Facial expression; Psychology; Brain activity and meditation; Prefrontal cortex; Neuroimaging; Stimulus (psychology); Cognition; Task (project management); Functional magnetic resonance imaging; Electroencephalography; Neuroscience; Communication","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003349686,0.0003043681,0.0006903734,0.0004560736,0.0004412987,0.00008950532,0.0002769069,0.00009310074,0.0002145957],"category_scores_gemma":[0.0003988465,0.0002493431,0.0001915624,0.0008129725,0.0001531767,0.0007802839,0.0001624506,0.0002766711,0.00001849415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000999337,"about_ca_system_score_gemma":0.0000443773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008846245,"about_ca_topic_score_gemma":0.000004848279,"domain_scores_codex":[0.9971699,0.0004349446,0.0008850201,0.000372507,0.0006311531,0.0005064961],"domain_scores_gemma":[0.998082,0.0003721047,0.0009025804,0.000132892,0.0002111168,0.0002992355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005870851,0.0008068547,0.1461575,0.000003075053,0.0001345529,0.00007160884,0.005539776,0.000004070684,0.8464354,7.577684e-7,0.00003453955,0.0002247576],"study_design_scores_gemma":[0.001407528,0.001001693,0.1005034,0.0001597442,0.001108203,0.00005526195,0.004728213,0.000009693742,0.8906595,0.000009560762,0.00002892405,0.0003283159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980638,0.0005894717,0.0004082879,0.00001419163,0.0005427941,0.0002348992,0.00005417566,0.00002972861,0.0000626194],"genre_scores_gemma":[0.998435,0.00001090656,0.0008259159,0.0003371796,0.0002258851,0.00001370765,0.000004518739,0.0000294611,0.0001173885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04565414,"threshold_uncertainty_score":0.9999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3412665525452295,"score_gpt":0.5543329376338064,"score_spread":0.2130663850885769,"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."}}