{"id":"W1975938737","doi":"10.1006/nimg.2001.0933","title":"A General Statistical Analysis for fMRI Data","year":2002,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1190,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Generality; Regularization (linguistics); Computer science; Simplicity; Autoregressive model; Voxel; Session (web analytics); Variance (accounting); Statistics; Algorithm; Pattern recognition (psychology); Artificial intelligence; Mathematics; Psychology","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":[0.03118079,0.004346373,0.004734404,0.004411483,0.002090971,0.002696873,0.004540763,0.002981766,0.03451559],"category_scores_gemma":[0.08250675,0.001989916,0.00899483,0.00513558,0.002474024,0.001883471,0.002553039,0.006278926,0.00956973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618147,"about_ca_system_score_gemma":0.005332013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004224288,"about_ca_topic_score_gemma":0.004394898,"domain_scores_codex":[0.9825658,0.009016138,0.001963095,0.003069955,0.00240868,0.0009763443],"domain_scores_gemma":[0.9680071,0.02066064,0.0009564642,0.00782776,0.002234712,0.0003132295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.006007973,0.001851259,0.01285468,0.007270091,0.01279681,0.003448293,0.001605483,0.04912149,0.0538814,0.09553439,0.1117935,0.6438347],"study_design_scores_gemma":[0.003364262,0.00734986,0.05436688,0.001395922,0.00566019,0.00562194,0.000684726,0.4148148,0.05983583,0.272578,0.1734244,0.000903292],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003657942,0.0002195985,0.9847736,0.0001583174,0.0002874272,0.002543696,0.00229301,0.005565321,0.0005010788],"genre_scores_gemma":[0.02500348,0.0002861895,0.9449075,0.0002654872,0.0001527625,0.02030258,0.003537565,0.002280953,0.003263456],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03451559,"threshold_uncertainty_score":0.1649017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1773574876227001,"score_gpt":0.3329177862354881,"score_spread":0.1555602986127879,"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."}}