{"id":"W2011875223","doi":"10.1002/mrm.20988","title":"Proton spectral editing for discrimination of lactate and threonine 1.31 ppm resonances in human brain in vivo","year":2006,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"In vivo; Nuclear magnetic resonance; Proton; Threonine; Chemistry; Physics; Biology; Nuclear physics; Genetics; Serine","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":[0.0004402429,0.0003429611,0.0003084262,0.0002802821,0.0002093528,0.0002535709,0.000425447,0.0003784158,0.0007602322],"category_scores_gemma":[0.001112741,0.0002230577,0.0001571981,0.0001548088,0.0002760426,0.0002366357,0.0001983799,0.0002471492,0.0002144651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001685466,"about_ca_system_score_gemma":0.0002679285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000657003,"about_ca_topic_score_gemma":0.001488276,"domain_scores_codex":[0.9998846,0.00002806614,0.00000468227,0.00003468781,0.00003428336,0.00001364097],"domain_scores_gemma":[0.9998137,0.00007131872,0.00002799115,0.00002476242,0.00003920482,0.00002294635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004437284,0.00002147772,0.0005145226,0.00008277996,0.00001454047,0.0001330477,0.00004849797,0.0002525449,0.9683499,0.00008516253,0.0001066685,0.02994718],"study_design_scores_gemma":[0.00005791984,0.0006334933,0.009175558,0.000006879132,0.00007161605,0.004016937,0.0000388507,0.01047978,0.9734538,0.0001858072,0.001849193,0.00003014078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7992274,0.001641907,0.197484,0.0001788728,0.00003913053,0.00008442537,0.0001229856,0.0004304494,0.0007907182],"genre_scores_gemma":[0.7938398,0.001092464,0.2032856,0.00006924561,0.0000289595,0.00008122962,0.000187462,0.00008035466,0.001334851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007602322,"threshold_uncertainty_score":0.002543211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859026942771521,"score_gpt":0.3358508364149535,"score_spread":0.3172605669872383,"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."}}