{"id":"W1985831547","doi":"10.1016/j.neuroimage.2005.06.053","title":"An improved theoretical P value for SPMs based on discrete local maxima","year":2005,"lang":"en","type":"article","venue":"NeuroImage","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Bonferroni correction; Maxima; Mathematics; Parametric statistics; Statistics; Upper and lower bounds; Field (mathematics); Full width at half maximum; False positive paradox; Maxima and minima; Algorithm; Mathematical analysis; Physics; Optics; Pure mathematics","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":[0.01024204,0.001120892,0.001528044,0.003200872,0.001053404,0.002365747,0.00320157,0.002650146,0.008764266],"category_scores_gemma":[0.06137982,0.0006343666,0.001584312,0.002329036,0.001720267,0.002895566,0.002231826,0.002868245,0.002591548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008362728,"about_ca_system_score_gemma":0.001823049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009262026,"about_ca_topic_score_gemma":0.001215801,"domain_scores_codex":[0.9947943,0.002724551,0.0003046675,0.0009294217,0.001047342,0.0001997315],"domain_scores_gemma":[0.9738341,0.01993513,0.0006122653,0.002579521,0.002705103,0.000333875],"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":[0.001481889,0.0002742134,0.005275793,0.001438283,0.000723424,0.001531489,0.0004316241,0.09688903,0.04459266,0.245308,0.0218081,0.5802455],"study_design_scores_gemma":[0.0002596647,0.0003847016,0.006009,0.0001994982,0.0003265082,0.002818515,0.00008026205,0.7091889,0.02011336,0.2449697,0.01549102,0.0001588842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003798274,0.0003480697,0.9934644,0.0002944,0.00009018427,0.00006489068,0.0001502052,0.00074788,0.001041655],"genre_scores_gemma":[0.1309046,0.0004503571,0.8646198,0.000286622,0.0003210418,0.0005449246,0.0005268767,0.0007665137,0.00157922],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01024204,"threshold_uncertainty_score":0.05416578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167777855719838,"score_gpt":0.2860403976012205,"score_spread":0.2643626190440221,"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."}}