{"id":"W3217467881","doi":"10.5281/zenodo.898165","title":"loli/medpy: MedPy 0.3.0 Python 3","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Computer science; Programming language","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":[0.002569072,0.002375956,0.001732102,0.001548061,0.001136823,0.003127727,0.00458307,0.001389873,0.1396374],"category_scores_gemma":[0.007844565,0.001830124,0.001949485,0.001512199,0.001267988,0.00410456,0.004468732,0.00525096,0.1444561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104963,"about_ca_system_score_gemma":0.002990152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004685348,"about_ca_topic_score_gemma":0.004134785,"domain_scores_codex":[0.9982057,0.0003054078,0.0001453614,0.0003776402,0.000631055,0.0003348731],"domain_scores_gemma":[0.9974406,0.0006687965,0.0001563024,0.0008459038,0.0006169391,0.0002713334],"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":[0.0004996256,0.0001376261,0.001147115,0.0006578519,0.0001232925,0.0001022503,0.0001866767,0.004756938,0.004570806,0.01174481,0.9329302,0.0431428],"study_design_scores_gemma":[0.000390986,0.00007302563,0.002544543,0.0002779965,0.00009033144,0.0003431156,0.00008086223,0.1070674,0.03079917,0.06146347,0.796572,0.0002970606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001649259,0.000192996,0.1506224,0.0005866124,0.0002026666,0.0001722138,0.03141154,0.7983987,0.0167637],"genre_scores_gemma":[0.04027973,0.0004585419,0.2299838,0.002600759,0.0002331436,0.001382161,0.1003193,0.5820749,0.04266784],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1396374,"threshold_uncertainty_score":0.4671337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599378314495356,"score_gpt":0.304955737068665,"score_spread":0.2689619539237114,"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."}}