{"id":"W4317207505","doi":"10.1007/s10554-023-02795-0","title":"The updated CADS-RADS 2.0: Changes, challenges and considerations for implementation—commentary by North American Society of Cardiovascular Imaging (NASCI)","year":2023,"lang":"en","type":"letter","venue":"The International Journal of Cardiovascular Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.002497454,0.0004015792,0.00116383,0.0002327097,0.0003250319,0.000218156,0.0004828026,0.00006134562,0.000003883614],"category_scores_gemma":[0.0003122999,0.0002847858,0.003074252,0.0001668795,0.0005579482,0.0001586875,0.0002335882,0.001046163,0.000001275202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002585171,"about_ca_system_score_gemma":0.0002553431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006264572,"about_ca_topic_score_gemma":0.00003829998,"domain_scores_codex":[0.996013,0.0003073495,0.0008326757,0.0003872896,0.002012059,0.0004476661],"domain_scores_gemma":[0.9953772,0.001398196,0.0007152219,0.000721768,0.001689533,0.00009807754],"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":[0.00003131791,0.00001492407,0.001041099,0.00009282206,0.03212788,0.0002431188,0.0005465211,0.0001705492,0.00002620302,0.000006364525,0.8796451,0.08605406],"study_design_scores_gemma":[0.002188361,0.00004936241,0.002252049,0.0002283882,0.007908455,0.001709748,0.001934484,0.0002768098,0.0002901435,0.0001663666,0.9827113,0.0002845982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001428953,0.1765072,0.002267289,0.8170335,0.001535043,0.0006695878,0.0004732636,0.00004148448,0.000043677],"genre_scores_gemma":[0.1396584,0.2384245,0.003519574,0.5876069,0.02754813,0.0003188061,0.002159066,0.0006112144,0.0001534445],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2294266,"threshold_uncertainty_score":0.9999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877134636915608,"score_gpt":0.2957655088974669,"score_spread":0.2669941625283109,"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."}}