{"id":"W4399548242","doi":"10.1186/s42492-024-00161-y","title":"Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction","year":2024,"lang":"en","type":"article","venue":"Visual Computing for Industry Biomedicine and Art","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Science Foundation Graduate Research Fellowship Program; National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Artificial intelligence; Computer science; Kernel (algebra); Artificial neural network; Pipeline (software); Projection (relational algebra); Fractal dimension; Pattern recognition (psychology); Fractal; Algorithm; Mathematics","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":[0.0005219959,0.000519891,0.0003422195,0.0004828499,0.0001726382,0.0004322506,0.0005832523,0.0008751783,0.001240917],"category_scores_gemma":[0.001737971,0.0002896288,0.0006821335,0.0003239246,0.000465528,0.0002517262,0.0003640825,0.0004758001,0.0001242909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008503011,"about_ca_system_score_gemma":0.0006635711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252401,"about_ca_topic_score_gemma":0.00710156,"domain_scores_codex":[0.999884,0.00003246302,0.000007509749,0.00002069644,0.00003684244,0.00001850626],"domain_scores_gemma":[0.9992566,0.0004643399,0.00005995609,0.00005179211,0.0001276744,0.00003972334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008762419,0.00002823672,0.001393805,0.00002198226,0.00001356863,0.000066229,0.00001734753,0.9941507,0.001868554,0.0002938231,0.0001404571,0.001917667],"study_design_scores_gemma":[0.000005776849,0.00001742088,0.0003903473,0.000002452214,0.000002588934,0.00001637625,0.000004832191,0.9981697,0.001217966,0.0001239481,0.00004536742,0.000003226727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114933,0.0001286563,0.08491104,0.0002942178,0.00002794895,0.00008214794,0.000881394,0.0006004882,0.001580906],"genre_scores_gemma":[0.9862474,0.00003649111,0.01267143,0.00003674089,0.000002572543,0.00003130029,0.0004176412,0.00002952467,0.0005269288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01252401,"threshold_uncertainty_score":0.02490222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813517461535922,"score_gpt":0.3020118296107752,"score_spread":0.2838766549954159,"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."}}