{"id":"W1986061044","doi":"10.1002/mrm.21711","title":"Free‐breathing cine MRI","year":2008,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton; University of Alberta","funders":"","keywords":"Breathing; Cartesian coordinate system; Computer science; Nuclear medicine; Magnetic resonance imaging; Computer vision; Motion (physics); Standard deviation; Artificial intelligence; Biomedical engineering; Medicine; Mathematics; Radiology; Anatomy; Geometry","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":[0.0006942972,0.000446198,0.0003874848,0.0005392709,0.0002477591,0.0007985705,0.001310674,0.001182904,0.01616587],"category_scores_gemma":[0.001513129,0.0004867393,0.0003236746,0.0002480243,0.0002989592,0.0008360927,0.0005168232,0.0006998012,0.004544336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608972,"about_ca_system_score_gemma":0.0003222933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006296109,"about_ca_topic_score_gemma":0.0008645584,"domain_scores_codex":[0.999679,0.00006190033,0.00002504807,0.0001049547,0.0001000449,0.00002901993],"domain_scores_gemma":[0.9992735,0.0001968471,0.00006570052,0.0001892439,0.0002147921,0.0000598766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007373567,0.0002808457,0.003050897,0.0007254574,0.0001498917,0.000806178,0.000247703,0.001684094,0.7015863,0.004102892,0.01825664,0.2683718],"study_design_scores_gemma":[0.00061718,0.004098115,0.06277168,0.0006399379,0.0005135327,0.03441274,0.0003558684,0.04974929,0.4109572,0.009618447,0.4258928,0.000373242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1327836,0.008057715,0.8016691,0.001297842,0.0009720545,0.001002251,0.003230222,0.006647242,0.04433993],"genre_scores_gemma":[0.3999248,0.007464141,0.5258621,0.003105822,0.0006975824,0.0008676235,0.005908404,0.001849584,0.05431998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01616587,"threshold_uncertainty_score":0.05408019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02636566429191071,"score_gpt":0.3148352490784196,"score_spread":0.2884695847865089,"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."}}