{"id":"W2165353312","doi":"10.1016/j.jmir.2008.09.007","title":"Cardiovascular Magnetic Resonance Imaging","year":2008,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Magnetic resonance imaging; Medicine; Medical physics; Cardiac magnetic resonance; CLIPS; Cardiac Tumors; Radiology; Cardiac imaging; Cardiac magnetic resonance imaging; Nuclear medicine; Surgery","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":[0.0003781873,0.0003442096,0.0003589668,0.001217544,0.000581633,0.0009011715,0.0004319075,0.0009500319,0.02949402],"category_scores_gemma":[0.001124775,0.0002033529,0.0003030046,0.0005771869,0.000406906,0.0003816357,0.0003741974,0.0008588912,0.01513861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268512,"about_ca_system_score_gemma":0.0004973012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000867175,"about_ca_topic_score_gemma":0.001908388,"domain_scores_codex":[0.999878,0.00001581116,0.00001085771,0.00003598925,0.00004363979,0.00001564532],"domain_scores_gemma":[0.99968,0.00004832997,0.00002076877,0.00006970223,0.000135657,0.00004556086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002222408,0.0001475677,0.00923864,0.000481396,0.0001751685,0.004843582,0.0001131536,0.0002553504,0.04857946,0.01123992,0.1533071,0.7713963],"study_design_scores_gemma":[0.0001664963,0.0003701089,0.06708362,0.0007242913,0.0003476136,0.06956591,0.0001417068,0.002223568,0.02642062,0.01799853,0.814852,0.0001055163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.07338317,0.09869576,0.1283492,0.01100108,0.007046965,0.000518441,0.003358157,0.004681766,0.6729654],"genre_scores_gemma":[0.4376168,0.0592173,0.08145726,0.01193364,0.009753178,0.0003810834,0.004692577,0.001001814,0.3939463],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02949402,"threshold_uncertainty_score":0.09866732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822397910857126,"score_gpt":0.3295718354805617,"score_spread":0.3113478563719905,"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."}}