{"id":"W4387211438","doi":"10.1007/978-3-031-43999-5","title":"Medical Image Computing and Computer Assisted Intervention – MICCAI 2023","year":2023,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":169,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Queen's University","funders":"National Institutes of Health; ShanghaiTech University; Technische Universität München; Nanjing University of Science and Technology; Hong Kong University of Science and Technology; University of Texas at Arlington; Central South University; Chinese Academy of Sciences; Imperial College London; Tencent; University of Pittsburgh; Nanjing University; Baidu; University of Twente; Rensselaer Polytechnic Institute; Massachusetts General Hospital; Beihang University; Nvidia; Arizona State University; Fudan University; Northwestern University; Beijing Institute of Technology; Northwestern Polytechnical University; University of California, Santa Cruz","keywords":"Computer science; Multimedia; Intervention (counseling); Human–computer interaction; Medical physics; Medicine","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":[0.0009735233,0.001680995,0.001058183,0.002598458,0.000464061,0.002225561,0.001104802,0.00111112,0.05580427],"category_scores_gemma":[0.001619011,0.0006578172,0.0006572261,0.002711851,0.0006453223,0.001902291,0.00171535,0.002631458,0.03679763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008740795,"about_ca_system_score_gemma":0.001156981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00272856,"about_ca_topic_score_gemma":0.003632685,"domain_scores_codex":[0.9993544,0.00005484518,0.00003547222,0.0001354811,0.0003819523,0.00003784081],"domain_scores_gemma":[0.9991502,0.0001615045,0.00003798817,0.0001187498,0.0003951357,0.0001365212],"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":[0.00004802958,0.00002778059,0.00008590621,0.0002864261,0.0000281898,0.00003297655,0.00001753972,0.002494637,0.002648414,0.01696496,0.4607563,0.5166088],"study_design_scores_gemma":[0.000008798852,0.00005765745,0.001141794,0.0001709646,0.00002112765,0.0005059708,0.00001265335,0.01627958,0.003237709,0.01534935,0.9631785,0.00003588784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00373061,0.1297255,0.2729885,0.006924224,0.03399044,0.0003449449,0.002740291,0.005292506,0.544263],"genre_scores_gemma":[0.01871327,0.05392069,0.09856946,0.001072873,0.009338227,0.0002434867,0.003322547,0.002422699,0.8123967],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05580427,"threshold_uncertainty_score":0.1866839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164392047456572,"score_gpt":0.3119864381424433,"score_spread":0.3003425176678776,"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."}}