{"id":"W2441994563","doi":"10.1016/j.jcmg.2015.12.021","title":"Contrast Ultrasound Ischemic Memory Imaging","year":2016,"lang":"en","type":"letter","venue":"JACC. Cardiovascular imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Contrast (vision); Ultrasound; Ultrasound imaging; Contrast-enhanced ultrasound; Medicine; Radiology; Computer science; Artificial intelligence","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001328092,0.001249679,0.002652807,0.0006361492,0.0002727105,0.0003603385,0.0004908283,0.0005231125,0.000245623],"category_scores_gemma":[0.001437257,0.001100478,0.005507409,0.0003454048,0.0004923255,0.0003673331,0.0002491601,0.003180985,0.0008359896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006661181,"about_ca_system_score_gemma":0.0005255167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002129166,"about_ca_topic_score_gemma":4.55644e-7,"domain_scores_codex":[0.9931035,0.0003134,0.0008957256,0.001786234,0.002051832,0.001849299],"domain_scores_gemma":[0.9943542,0.001081032,0.0002871221,0.00326485,0.0006496591,0.0003630915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002081012,0.00001918878,0.008563168,0.0005133271,0.003251797,0.01004027,0.00007379818,0.000005887018,0.001505662,0.000001512932,0.9396459,0.03635861],"study_design_scores_gemma":[0.003570799,0.000009127421,0.001564121,0.001589369,0.006151663,0.01071371,0.0001009976,0.0000294077,0.002407669,0.0000371724,0.9725028,0.001323179],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0007450634,0.1829369,0.01566266,0.6343943,0.008085119,0.002569394,0.0005574751,0.00188706,0.153162],"genre_scores_gemma":[0.0431846,0.001925479,0.001571526,0.8780687,0.06515455,0.0003037416,0.001776668,0.001182968,0.006831742],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2436744,"threshold_uncertainty_score":0.999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007593630497499828,"score_gpt":0.2264411872011214,"score_spread":0.2188475567036216,"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."}}