{"id":"W2120507475","doi":"10.1016/j.jvir.2009.04.052","title":"Emerging Technologies Articles","year":2009,"lang":"en","type":"article","venue":"Journal of Vascular and Interventional Radiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Emerging technologies; Interventional radiology; Variety (cybernetics); Library science; Medical physics; Radiology; Computer science; 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":[0.00132783,0.0006040942,0.0004749334,0.003942878,0.0008433456,0.005690322,0.001015635,0.001666223,0.184433],"category_scores_gemma":[0.002575554,0.0002660557,0.0004889491,0.002624868,0.0005439438,0.003797999,0.001254586,0.001463489,0.1026412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039843,"about_ca_system_score_gemma":0.002871081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000665488,"about_ca_topic_score_gemma":0.001845101,"domain_scores_codex":[0.9989445,0.00006298207,0.00006272517,0.0001164124,0.000706998,0.0001064324],"domain_scores_gemma":[0.9959733,0.0003864295,0.0002315241,0.0002744473,0.002128359,0.001006002],"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":[0.00004988838,0.0001254833,0.0008828446,0.000572854,0.00001671496,0.0002924201,0.00007202585,0.0001022158,0.003211234,0.01370729,0.5246249,0.4563422],"study_design_scores_gemma":[0.000006380123,0.00002759999,0.0008746497,0.0001628199,0.00001038525,0.0004174975,0.00007685376,0.00009667249,0.00077526,0.002644554,0.9949014,0.000005830453],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005994708,0.05746321,0.008404319,0.02878147,0.05552988,0.0002806676,0.002115028,0.001215869,0.8402149],"genre_scores_gemma":[0.02338728,0.07770639,0.006528462,0.007903942,0.03143631,0.0001074561,0.004085752,0.0003577061,0.8484866],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.184433,"threshold_uncertainty_score":0.6169898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009796032960949495,"score_gpt":0.3028374812811568,"score_spread":0.2930414483202073,"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."}}