{"id":"W2937893412","doi":"10.5114/aic.2019.83776","title":"Multi-modality imaging for percutaneous pulmonary valve implantation – getting serious about radiation and contrast reduction","year":2019,"lang":"en","type":"article","venue":"Advances in Interventional Cardiology","topic":"Congenital Heart Disease Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"US-UK Fulbright Commission","keywords":"Percutaneous; Modality (human–computer interaction); Medicine; Interventional cardiology; Treatment modality; Pulmonary valve; Radiology; Nuclear medicine; Internal medicine; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002133424,0.0001135951,0.0003017106,0.00009944128,0.00006269787,0.000007650515,0.00002736469,0.0000450044,0.00001490203],"category_scores_gemma":[0.0001224207,0.0001164595,0.0002078126,0.00004952621,0.00008639316,0.0002236995,0.0000306475,0.00010056,0.000006851576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235105,"about_ca_system_score_gemma":0.00002426766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001676652,"about_ca_topic_score_gemma":0.00001742822,"domain_scores_codex":[0.9990386,0.00007451206,0.000300137,0.0003109156,0.00008659022,0.0001892953],"domain_scores_gemma":[0.999527,0.0001496279,0.00007435152,0.00008935108,0.000119591,0.0000400249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001803351,0.0001516281,0.6432618,0.001087166,0.0003185675,0.0001405423,0.0003521167,0.0006567952,0.01983334,0.0003881514,0.00004754712,0.3319589],"study_design_scores_gemma":[0.002523333,0.0003723452,0.9699743,0.000291766,0.0001810278,0.008298409,0.001194038,0.01237314,0.0001257246,0.002517972,0.001892124,0.0002557971],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761468,0.01926951,0.002085291,0.0003354331,0.0008974902,0.000824894,0.00009751436,0.00003552567,0.0003075777],"genre_scores_gemma":[0.9980434,0.0004004508,0.0009317901,0.00005569512,0.000202235,0.0000980608,0.0001806625,0.00001251401,0.00007514928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3317031,"threshold_uncertainty_score":0.4749079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032105028431064,"score_gpt":0.3263786393760493,"score_spread":0.3160575890917387,"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."}}