{"id":"W2128062869","doi":"10.1186/1532-429x-11-5","title":"Society for Cardiovascular Magnetic Resonance guidelines for reporting cardiovascular magnetic resonance examinations","year":2009,"lang":"en","type":"article","venue":"Journal of Cardiovascular Magnetic Resonance","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institutes of Health","keywords":"Medicine; Magnetic resonance imaging; Angiology; Cardiovascular health; Cardiac magnetic resonance; Dissemination; Medical physics; Radiology; Cardiology; Internal medicine; Disease","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":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01141201,0.00111339,0.004609497,0.0004688529,0.0006001749,0.0002598339,0.0008153304,0.0005773574,0.00002995245],"category_scores_gemma":[0.01738213,0.001062353,0.02798842,0.001278998,0.0004290782,0.00043544,0.0001374214,0.0009839846,0.00001247207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004891535,"about_ca_system_score_gemma":0.001026184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007795505,"about_ca_topic_score_gemma":0.000002643895,"domain_scores_codex":[0.9878178,0.0003820807,0.004698202,0.001618653,0.003815032,0.001668237],"domain_scores_gemma":[0.9862266,0.0008664688,0.00116955,0.003528186,0.007530055,0.0006792014],"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":[0.0003671355,0.0002414187,0.001100205,0.0004921133,0.002232027,0.0007046452,0.0002586567,0.001653125,0.000122379,0.0001520548,0.04203843,0.9506378],"study_design_scores_gemma":[0.01024304,0.00243585,0.06216016,0.001440118,0.01230199,0.003952915,0.0002498854,0.002135277,0.0004474556,0.0006622644,0.9029607,0.001010318],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.009338735,0.9607527,0.02248641,0.001462653,0.001507477,0.00322159,0.0001380065,0.0001559797,0.0009365014],"genre_scores_gemma":[0.0746419,0.4419391,0.4533233,0.004816441,0.01630721,0.001330185,0.0001292795,0.0008554989,0.006657038],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9496275,"threshold_uncertainty_score":0.9991827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04158190480490135,"score_gpt":0.3064837952045405,"score_spread":0.2649018903996391,"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."}}