{"id":"W4403571488","doi":"10.14366/usg.24163","title":"Unraveling distinctions between contrast-enhanced ultrasound and CT/MRI for liver mass diagnosis","year":2024,"lang":"en","type":"article","venue":"ULTRASONOGRAPHY","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Medicine; Contrast (vision); Ultrasound; Radiology; Contrast-enhanced ultrasound; Ultrasonography; Magnetic resonance imaging; 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":[0.01256665,0.0007930679,0.001441943,0.004338702,0.000586698,0.003533736,0.00148852,0.001679282,0.0008833308],"category_scores_gemma":[0.01746655,0.0004457805,0.0008389837,0.001677617,0.003787584,0.004881721,0.001666273,0.004587608,0.000585666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002105512,"about_ca_system_score_gemma":0.004036935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002266534,"about_ca_topic_score_gemma":0.003364064,"domain_scores_codex":[0.9948959,0.002036123,0.0008268834,0.000518951,0.001428281,0.0002937925],"domain_scores_gemma":[0.9898484,0.006254527,0.0008817299,0.0003647261,0.002223936,0.0004267274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003132381,0.00008327892,0.006859882,0.006596069,0.000186952,0.002257931,0.001112579,0.0005246832,0.00557967,0.07080471,0.01388174,0.8917994],"study_design_scores_gemma":[0.0001149336,0.0007619243,0.02064202,0.02019317,0.0004644202,0.0364812,0.002087899,0.00241234,0.006945655,0.07192422,0.837687,0.0002852273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004097486,0.9628912,0.01105927,0.0139039,0.001976179,0.00004445369,0.00003514115,0.0000631595,0.005929239],"genre_scores_gemma":[0.06496905,0.8800294,0.03675181,0.009561998,0.006831703,0.0001324379,0.0001100322,0.00007569906,0.001537851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01256665,"threshold_uncertainty_score":0.06645954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792482371004542,"score_gpt":0.2730422638358169,"score_spread":0.2551174401257715,"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."}}