{"id":"W4285751350","doi":"10.1007/978-3-030-59710-8","title":"Medical Image Computing and Computer Assisted Intervention – MICCAI 2020","year":2020,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":154,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Canada Research Chairs; University of Toronto","funders":"","keywords":"Computer science; Multimedia; Data science; Computer graphics (images)","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001337387,0.0004350053,0.0008565347,0.0003589873,0.0001752987,0.0002721678,0.0006639592,0.0003665059,0.00008133395],"category_scores_gemma":[0.0008129207,0.000375434,0.0001803315,0.0005379405,0.001250904,0.0001305724,0.001009142,0.002443728,0.00002323369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768185,"about_ca_system_score_gemma":0.0007684714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002659312,"about_ca_topic_score_gemma":0.00000935025,"domain_scores_codex":[0.9961841,0.000107537,0.0006784116,0.001216844,0.001272481,0.0005406062],"domain_scores_gemma":[0.9980394,0.0005429051,0.0002632193,0.0004002664,0.0001532522,0.0006009421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002654319,0.00007374548,0.0007936124,0.0004819176,0.00004136598,0.00112105,0.0004941748,0.0002969827,0.0001701034,0.00004714529,0.002261571,0.9941918],"study_design_scores_gemma":[0.001382623,0.0003409312,0.003588866,0.002924494,0.00005435917,0.001278813,5.001302e-7,0.9851738,0.00005952001,0.001100846,0.003715274,0.0003799427],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00225673,0.0006423503,0.9849844,0.009360256,0.001475104,0.0003596061,0.000002811512,0.0001439025,0.0007748574],"genre_scores_gemma":[0.1866248,0.0001992389,0.7758194,0.02803539,0.008375911,0.00000735909,0.0001992958,0.0001687598,0.0005698547],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9938118,"threshold_uncertainty_score":0.9998698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008707190340137857,"score_gpt":0.2952506030000074,"score_spread":0.2865434126598695,"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."}}