{"id":"W1982080133","doi":"10.1109/tbme.2012.2230262","title":"Multistructure Large Deformation Diffeomorphic Brain Registration","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Image registration; Artificial intelligence; Robustness (evolution); Diffeomorphism; Computer vision; Computer science; Brain morphometry; Matching (statistics); Pattern recognition (psychology); Neuroimaging; Neuroscience; Magnetic resonance imaging; Mathematics; Psychology; Medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001083026,0.0001335271,0.0001339209,0.0001450196,0.00009266775,0.000008952179,0.00005190368,0.0001093518,0.00005881123],"category_scores_gemma":[0.00002091958,0.0001196906,0.00007221242,0.000270908,0.0000343432,0.0001499393,8.879091e-7,0.0003438622,0.00002513073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007891862,"about_ca_system_score_gemma":0.00001385166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000363986,"about_ca_topic_score_gemma":4.526806e-7,"domain_scores_codex":[0.9991364,0.000007800521,0.0002102381,0.0001396325,0.0002249858,0.0002809769],"domain_scores_gemma":[0.9994302,0.00005220251,0.00003810084,0.0002250569,0.00002325401,0.0002312134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002111806,0.002933511,0.000392759,0.0006682192,0.0001817702,0.00003759192,0.0009404816,0.005652397,0.828114,0.007589548,0.006472385,0.1468061],"study_design_scores_gemma":[0.005426618,0.0007558882,0.02064853,0.0005669399,0.000306367,0.001769239,0.0001268676,0.3781089,0.2367098,0.0002651714,0.3540309,0.001284716],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03234145,0.00002158165,0.9645393,0.002047938,0.0002544125,0.0002483278,0.0000305506,0.0004573084,0.00005911385],"genre_scores_gemma":[0.9824476,0.00002448291,0.01667245,0.0004407043,0.0001487303,0.00007133011,0.00004391704,0.000025999,0.0001248142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9501061,"threshold_uncertainty_score":0.488084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834519354254756,"score_gpt":0.2996760640480542,"score_spread":0.2713308705055066,"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."}}