{"id":"W4206865815","doi":"","title":"Performance comparison of modified ComBat for harmonization of radiomic features in multicentric studies","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Harmonization; Computer science; Artificial intelligence; Art","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":[0.008730772,0.001124192,0.001530838,0.002579568,0.000410919,0.001623006,0.001199844,0.001093743,0.006667494],"category_scores_gemma":[0.02782888,0.0002802358,0.001364806,0.00218121,0.000447373,0.001167241,0.001926845,0.0005197649,0.001424016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005110046,"about_ca_system_score_gemma":0.0009567728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003608107,"about_ca_topic_score_gemma":0.003002583,"domain_scores_codex":[0.9957886,0.002700088,0.0002498718,0.0006069044,0.0004000452,0.0002544958],"domain_scores_gemma":[0.9813798,0.01372109,0.0007645303,0.001804892,0.001690183,0.0006395321],"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":[0.02066217,0.0006035289,0.06864418,0.001061335,0.002166433,0.0003176644,0.0005704846,0.1191757,0.00775572,0.003501312,0.01466401,0.7608773],"study_design_scores_gemma":[0.001777047,0.005789564,0.128106,0.0001919673,0.001600435,0.001667837,0.001586319,0.8264352,0.01231012,0.006480834,0.01383539,0.0002192113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7319367,0.007530728,0.2412754,0.0008570947,0.0004817398,0.0005584502,0.005533743,0.004741271,0.007084876],"genre_scores_gemma":[0.8906946,0.0009138782,0.09976328,0.0001009754,0.000149059,0.0002225281,0.005454635,0.0005011774,0.002199787],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008730772,"threshold_uncertainty_score":0.04617327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343028849792563,"score_gpt":0.3180248446929325,"score_spread":0.2837219597136761,"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."}}