{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006177871,0.0005541425,0.0008077941,0.0006454613,0.0003841317,0.0007673826,0.0007926441,0.0009947342,0.000930629],"category_scores_gemma":[0.0128299,0.0008407668,0.000750458,0.0005731005,0.0008464266,0.0007333838,0.0005135819,0.0004976779,0.0004091187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004459881,"about_ca_system_score_gemma":0.0003724938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855145,"about_ca_topic_score_gemma":0.00269398,"domain_scores_codex":[0.9958544,0.002065286,0.0003104683,0.0009359731,0.0007066868,0.0001272194],"domain_scores_gemma":[0.9794466,0.01027786,0.001966851,0.005249774,0.002791789,0.000267087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02157543,0.002532419,0.2531538,0.0006708427,0.003209974,0.001299103,0.003494506,0.01306903,0.6094286,0.0006772939,0.0008084992,0.09008053],"study_design_scores_gemma":[0.0005791881,0.01242925,0.7998672,0.00004259697,0.004134377,0.008097083,0.0007443954,0.03247282,0.1376038,0.00049853,0.003288316,0.0002425488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769657,0.0007582248,0.02116434,0.00003175465,0.00002912248,0.00006041165,0.0002275619,0.0001445371,0.0006183151],"genre_scores_gemma":[0.9940444,0.0001214181,0.005067129,0.00003364218,0.00002258657,0.00002897931,0.0001948528,0.0001541029,0.0003328921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006177871,"threshold_uncertainty_score":0.03267211,"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."}}