{"id":"W3083446900","doi":"10.1097/ruq.0000000000000514","title":"Contrast -Enhanced Ultrasound","year":2020,"lang":"en","type":"review","venue":"Ultrasound Quarterly","topic":"Ultrasound and Hyperthermia Applications","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Contrast (vision); Contrast-enhanced ultrasound; Ultrasound; Medical physics; Radiology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009222553,0.0008236168,0.001292213,0.003944906,0.0003203209,0.001105578,0.0009666258,0.001133468,0.009477114],"category_scores_gemma":[0.002894278,0.0002558437,0.0005749998,0.00239973,0.000677496,0.0009525515,0.0007693245,0.00122225,0.005347779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005181395,"about_ca_system_score_gemma":0.001060562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831935,"about_ca_topic_score_gemma":0.002320265,"domain_scores_codex":[0.9993359,0.0001532669,0.0000777411,0.0001107048,0.0002749709,0.00004732342],"domain_scores_gemma":[0.9988938,0.0004299706,0.0001532256,0.0000673317,0.0003935287,0.00006206496],"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":[0.0001293821,0.00006027951,0.0006234171,0.0123595,0.0001526586,0.0007605752,0.00005067782,0.0001415606,0.004721649,0.003243993,0.09593052,0.8818257],"study_design_scores_gemma":[0.00003344181,0.0001049228,0.001622632,0.004964741,0.0001464482,0.01028242,0.00005086668,0.0001018504,0.002410729,0.001760377,0.9784859,0.00003567516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005799336,0.975665,0.002570045,0.00116163,0.001014474,0.00009308465,0.000191195,0.0001095395,0.01861513],"genre_scores_gemma":[0.01495139,0.96676,0.004457781,0.003155507,0.001421001,0.00008441674,0.0005135537,0.00003147782,0.00862494],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009477114,"threshold_uncertainty_score":0.03170407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481145409386679,"score_gpt":0.2505001878138295,"score_spread":0.2356887337199627,"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."}}