{"id":"W2339892475","doi":"10.1109/tmi.2016.2554554","title":"Transformation Invariant Control ofVoxel-Wise False Discovery Rate","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; National Institute on Aging; Canadian Institutes of Health Research","keywords":"False discovery rate; Voxel; Mathematics; Transformation (genetics); Invariant (physics); Randomness; Artificial intelligence; Gaussian process; Gaussian; Measure (data warehouse); Statistical hypothesis testing; Pattern recognition (psychology); Algorithm; Computer science; Statistics; Data mining","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":[0.05208562,0.001690246,0.002192604,0.002347582,0.001121905,0.002109054,0.004310736,0.002087555,0.002033703],"category_scores_gemma":[0.1653879,0.0007047075,0.001171864,0.002843413,0.004292659,0.002396806,0.004207655,0.003011842,0.0008029913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002045732,"about_ca_system_score_gemma":0.003075332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361233,"about_ca_topic_score_gemma":0.001252571,"domain_scores_codex":[0.9605587,0.02374665,0.002218958,0.005212035,0.007247535,0.001016133],"domain_scores_gemma":[0.879268,0.08792063,0.006099093,0.01798334,0.007855888,0.0008730346],"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":[0.002631603,0.0004603346,0.01310271,0.00135285,0.001038471,0.001250377,0.001451852,0.136599,0.08436568,0.2334825,0.006564928,0.5176998],"study_design_scores_gemma":[0.0002663254,0.0008079936,0.00971141,0.0001223594,0.0002747993,0.0008884557,0.0001437276,0.754482,0.1001426,0.122973,0.0100356,0.0001518037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006172461,0.0003612063,0.9916488,0.0001881856,0.00009011599,0.0000941406,0.00005984346,0.0009042873,0.0004810933],"genre_scores_gemma":[0.305206,0.0004237132,0.6903141,0.0003338431,0.000249442,0.0009774342,0.0003405195,0.0008884426,0.00126648],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05208562,"threshold_uncertainty_score":0.2754584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1638769011789418,"score_gpt":0.4545237686137015,"score_spread":0.2906468674347598,"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."}}