{"id":"W2128306190","doi":"10.2528/pier12031505","title":"COMPREHENSIVE ANALYSIS OF LENZ EFFECT ON THE ARTIFICIAL HEART VALVES DURING MAGNETIC RESONANCE IMAGING","year":2012,"lang":"en","type":"article","venue":"Electromagnetic waves","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Magnetic resonance imaging; Artificial heart; Functional magnetic resonance imaging; Nuclear magnetic resonance; Physics; Medicine; Cardiology; Radiology","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":[0.0001960682,0.0002564728,0.000301305,0.000303679,0.0001728067,0.0002121757,0.0002173247,0.0002067686,0.0008673146],"category_scores_gemma":[0.0006332847,0.0001002215,0.0002233623,0.000151959,0.000249194,0.0002593909,0.000185165,0.0001493884,0.0001146711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001587185,"about_ca_system_score_gemma":0.000133096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000302353,"about_ca_topic_score_gemma":0.0002805617,"domain_scores_codex":[0.9999088,0.00001553291,0.000003953686,0.00001447705,0.00004376145,0.00001345922],"domain_scores_gemma":[0.9997224,0.000132182,0.00005891486,0.0000258476,0.00004178685,0.00001882285],"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":[0.0004230052,0.00006899169,0.004764028,0.0002407472,0.00006209806,0.0009001672,0.000234728,0.1338715,0.8273479,0.003094247,0.0002004632,0.02879209],"study_design_scores_gemma":[0.00002638063,0.0004495126,0.03745309,0.00002139875,0.00007034276,0.0008431418,0.0001391092,0.6016266,0.3550775,0.001167727,0.003074833,0.00005033426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941948,0.000779394,0.1010954,0.0000461897,0.00001916394,0.00003528535,0.00007538611,0.000178636,0.003575708],"genre_scores_gemma":[0.9891778,0.0003117765,0.009144677,0.00001018733,0.000007535159,0.00001237825,0.00005467125,0.00003038036,0.001250505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008673146,"threshold_uncertainty_score":0.002901435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294082688474888,"score_gpt":0.2903297088914147,"score_spread":0.2773888820066658,"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."}}