{"id":"W4411163662","doi":"10.1002/mrm.30597","title":"<i>SMART MRS</i> : A Simulated <scp>MEGA</scp> ‐ <scp>PRESS</scp> ARTifacts toolbox for <scp>GABA</scp> ‐edited <scp>MRS</scp>","year":2025,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"Australasian Gynaecological Endoscopy and Surgery Society; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001347029,0.001741411,0.000677101,0.0007815973,0.0004601037,0.001169086,0.003196865,0.001349022,0.07123519],"category_scores_gemma":[0.004225516,0.0008565611,0.0009376022,0.0005517403,0.0006281369,0.001186479,0.001994528,0.001698202,0.02460205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005229443,"about_ca_system_score_gemma":0.001515367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001996831,"about_ca_topic_score_gemma":0.003765294,"domain_scores_codex":[0.9996464,0.00006308707,0.00002989159,0.00007151935,0.0001421433,0.00004692734],"domain_scores_gemma":[0.9986725,0.0004315134,0.0001520501,0.0002636841,0.0003161527,0.0001641155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002351956,0.0003689193,0.005566838,0.002268477,0.0006016071,0.002450214,0.0007229293,0.08344685,0.07939181,0.01233266,0.665709,0.1447888],"study_design_scores_gemma":[0.0008895015,0.0004996391,0.006187099,0.0003481827,0.000196621,0.003458408,0.0001254929,0.475087,0.1609443,0.01774544,0.3341085,0.0004098613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02530088,0.00034546,0.5360411,0.0009113023,0.0003450787,0.0004222436,0.03459871,0.3855893,0.01644581],"genre_scores_gemma":[0.1766073,0.0007305777,0.5734795,0.002372194,0.0001612166,0.002404962,0.07328655,0.1424205,0.02853727],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.07123519,"threshold_uncertainty_score":0.2383054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131937874719332,"score_gpt":0.309340538114216,"score_spread":0.2880211593670227,"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."}}