{"id":"W2021369205","doi":"10.1016/j.patcog.2008.02.001","title":"Nonlinear registration using variational principle for mutual information","year":2008,"lang":"en","type":"article","venue":"Pattern Recognition","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Mutual information; Nonlinear system; Artificial intelligence; Computer science; Mathematics; Computer vision; Algorithm; Physics","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":[0.002559927,0.0009856471,0.001540662,0.001327372,0.0006751287,0.001666237,0.002400058,0.002201531,0.001939044],"category_scores_gemma":[0.005115491,0.001272598,0.002076376,0.001104542,0.001854917,0.003111216,0.003154075,0.002415757,0.0007322374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001087626,"about_ca_system_score_gemma":0.001363468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003167819,"about_ca_topic_score_gemma":0.003331489,"domain_scores_codex":[0.99888,0.0004504123,0.00006126643,0.0002234245,0.000319576,0.00006522612],"domain_scores_gemma":[0.9985593,0.0008571598,0.0001393808,0.0002014813,0.0001862223,0.00005649478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001440273,0.00007564056,0.0004886605,0.000268499,0.0002766809,0.0001554129,0.0002306769,0.5351335,0.01298064,0.3433592,0.002680715,0.1042064],"study_design_scores_gemma":[0.000007158735,0.00001795735,0.00009565127,0.000007785657,0.00001459894,0.00004690237,0.000009394377,0.95198,0.001357161,0.04518364,0.001259176,0.00002058701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001618406,0.00006973049,0.9977513,0.00006184764,0.00001319933,0.00001223444,0.00001513869,0.00005105134,0.0004071873],"genre_scores_gemma":[0.1864371,0.0004936474,0.8039759,0.0001329216,0.0001262481,0.0002764713,0.0003433733,0.000594182,0.007620054],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003167819,"threshold_uncertainty_score":0.01353836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06949130102468475,"score_gpt":0.310039247570398,"score_spread":0.2405479465457132,"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."}}