{"id":"W2071981283","doi":"10.1016/j.stamet.2008.05.003","title":"Hypothesis testing, power and sample size determination for between group comparisons in fMRI experiments","year":2008,"lang":"en","type":"article","venue":"Statistical Methodology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"D-Wave Systems (Canada)","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Nature","keywords":"Sample size determination; Statistical power; Functional magnetic resonance imaging; Sample (material); Mathematics; Statistical hypothesis testing; Multiple comparisons problem; Power (physics); Statistics; Range (aeronautics); Artificial intelligence; Computer science; Psychology; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0006469725,0.0001312836,0.0003532837,0.0000797503,0.0002110571,0.000009133926,0.00008610472,0.00007037126,0.00004420834],"category_scores_gemma":[0.4620728,0.0001292276,0.00002214642,0.0001525205,0.0004347256,0.00005999997,0.00008177698,0.0001182795,0.000005078442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004315372,"about_ca_system_score_gemma":0.00001997488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001036477,"about_ca_topic_score_gemma":0.00003789862,"domain_scores_codex":[0.9978657,0.0009722633,0.0002488681,0.0004906257,0.0001309499,0.0002915345],"domain_scores_gemma":[0.6322616,0.3675359,0.0000506603,0.0000795844,0.00002568945,0.00004653935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009242018,0.0007131908,0.5813842,0.0001454377,0.00006110429,0.0001272453,0.002634182,0.00001517818,0.2346799,0.07374524,0.00913268,0.09643736],"study_design_scores_gemma":[0.0009364765,0.0007568478,0.8496978,0.000008165845,0.00001830921,0.00004120087,0.00009685587,0.0006958007,0.01442174,0.1321398,0.0009539811,0.0002330216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2462008,0.00001522389,0.7519329,0.0007099282,0.0001687488,0.0003569248,0.0002808953,0.00004395063,0.0002906145],"genre_scores_gemma":[0.465062,0.000001967678,0.5343882,0.0004290519,0.00002493102,0.00007180507,7.72547e-7,0.000009038399,0.00001225055],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4614258,"threshold_uncertainty_score":0.5424584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4576372935241438,"score_gpt":0.4232225899369432,"score_spread":0.03441470358720056,"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."}}