{"id":"W4387326399","doi":"10.2214/ajr.23.30140","title":"Abbreviated MRI for Hepatocellular Carcinoma Surveillance: Counterpoint—Hepatobiliary Contrast Agents Improve Detection and Characterization","year":2023,"lang":"en","type":"article","venue":"American Journal of Roentgenology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Hepatocellular carcinoma; Counterpoint; Contrast (vision); Radiology; Carcinoma; Pathology; Internal medicine; 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":[0.0009426376,0.0005910543,0.0005553163,0.0009113824,0.0003782638,0.0009201338,0.0005075664,0.0008567774,0.003225377],"category_scores_gemma":[0.003608645,0.0001201786,0.0004097987,0.0006242743,0.0003305908,0.0009231608,0.0004053513,0.001015619,0.0008458501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004462016,"about_ca_system_score_gemma":0.0006598529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007830585,"about_ca_topic_score_gemma":0.001187037,"domain_scores_codex":[0.9996774,0.0001328051,0.00005327368,0.0000369217,0.00005971298,0.00003987888],"domain_scores_gemma":[0.9990175,0.0002425854,0.0002154141,0.0001176169,0.0002763599,0.0001304871],"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":[0.008389634,0.0007210393,0.09839638,0.001461628,0.0005726515,0.004945656,0.0001393487,0.002363568,0.1209025,0.005072869,0.03604652,0.7209882],"study_design_scores_gemma":[0.001718085,0.01158092,0.422305,0.001147922,0.003003606,0.05076706,0.0004542592,0.0258909,0.2625752,0.01295905,0.2073119,0.0002860521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7884398,0.0644882,0.04959573,0.04125611,0.004520716,0.0006201945,0.000896753,0.001486584,0.04869588],"genre_scores_gemma":[0.9348292,0.0113371,0.04092634,0.004566313,0.002624138,0.0001424881,0.000564348,0.0001548033,0.004855179],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.003225377,"threshold_uncertainty_score":0.01078999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278665669646932,"score_gpt":0.247074019676265,"score_spread":0.2242873629797957,"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."}}