{"id":"W3019779044","doi":"10.1007/s12350-020-02109-0","title":"Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study","year":2020,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Repeatability; Reproducibility; Imaging phantom; Radiomics; Cardiac imaging","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":[],"consensus_categories":[],"category_scores_codex":[0.002790262,0.0001726262,0.001167785,0.00009350952,0.00009083242,0.00001908541,0.0001489997,0.00007993591,0.00002905025],"category_scores_gemma":[0.004621595,0.0001275903,0.0003434792,0.0001428541,0.0002662682,0.00007576061,0.0001193602,0.001032803,0.000005578609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007153767,"about_ca_system_score_gemma":0.00009508312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003304605,"about_ca_topic_score_gemma":4.31965e-7,"domain_scores_codex":[0.9977819,0.000522199,0.0005580039,0.0006327596,0.0002723328,0.0002328436],"domain_scores_gemma":[0.9984658,0.0001191117,0.0002501975,0.0006273019,0.0001503325,0.0003872234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0015899,0.0002687023,0.943706,0.000123676,0.001453993,0.003351214,0.004855357,0.0001021534,0.01805423,0.00001894648,0.01674472,0.009731127],"study_design_scores_gemma":[0.0034368,0.00221024,0.9604449,0.00003100225,0.0006560172,0.005447808,0.001655784,0.0006458969,0.00004631291,0.00002383465,0.02524046,0.0001609695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872083,0.001622852,0.00009181024,0.009719431,0.0006669362,0.0003332141,0.000003681949,0.00003528191,0.0003184695],"genre_scores_gemma":[0.9949144,0.0002039795,0.001939744,0.001262086,0.001582027,0.000001007959,0.000001352968,0.00003518085,0.00006018439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01800792,"threshold_uncertainty_score":0.5532814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772688876944061,"score_gpt":0.3075255445659917,"score_spread":0.2797986557965511,"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."}}