{"id":"W2140367382","doi":"10.1109/tmi.2008.923704","title":"Combinatorial and Probabilistic Fusion of Noisy Correlation Measurements for Untracked Freehand 3-D Ultrasound","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Imaging","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Decorrelation; Speckle pattern; Artificial intelligence; Computer science; Probabilistic logic; Calibration; Computer vision; Position (finance); Displacement (psychology); Sensor fusion; Mathematics; Image registration; Algorithm; Image (mathematics); Statistics","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":[0.0001734356,0.0001116533,0.0001531626,0.00008645996,0.0001446674,0.00001103297,0.00005119093,0.00007853992,0.0000362285],"category_scores_gemma":[0.0000778489,0.0001114324,0.00004372742,0.0001178326,0.0001165893,0.00008471715,3.829901e-7,0.0001442257,0.000001833926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000493686,"about_ca_system_score_gemma":0.00003403279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001681254,"about_ca_topic_score_gemma":0.000009823882,"domain_scores_codex":[0.9990419,0.00002504444,0.000269239,0.0001382605,0.0003785921,0.0001469204],"domain_scores_gemma":[0.9994384,0.0002263067,0.00003121834,0.00009769703,0.00009473984,0.0001116042],"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":[0.0001228593,0.0003417567,0.0009990979,0.0003305757,0.0000796134,0.000007947093,0.0006352764,0.9447768,0.03250004,0.0003093821,0.0003216176,0.01957497],"study_design_scores_gemma":[0.002013355,0.0000531162,0.0004679115,0.0001283386,0.00006650806,0.00002833188,0.00002616892,0.9815039,0.01497412,0.0005029918,0.00007054393,0.0001646907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1289299,0.00004859184,0.8694084,0.0000511149,0.001136555,0.0002557625,0.00001067854,0.00007322213,0.00008576937],"genre_scores_gemma":[0.9990469,0.00008340594,0.0007305947,0.0000237367,0.00005632428,0.00001717117,0.00001232335,0.00002278894,0.000006795456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8701169,"threshold_uncertainty_score":0.454408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790450120211754,"score_gpt":0.2294696122927439,"score_spread":0.2115651110906263,"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."}}