{"id":"W2545126001","doi":"10.1002/mrm.26514","title":"Diffusion‐weighted J‐resolved spectroscopy","year":2016,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Glutamine; Metabolite; Chemistry; Nuclear magnetic resonance; In vivo magnetic resonance spectroscopy; Nuclear magnetic resonance spectroscopy; Inositol; Diffusion MRI; Creatine; Spectroscopy; Magnetic resonance imaging; Physics; Biochemistry; Amino acid; Medicine","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":[0.001048251,0.0006412361,0.0004908057,0.0006162249,0.0002329119,0.0007197628,0.0006817049,0.0008391077,0.001366043],"category_scores_gemma":[0.001622216,0.000333631,0.0003503681,0.0004985955,0.0003714359,0.0008675473,0.0004956982,0.0004880802,0.0009725133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538273,"about_ca_system_score_gemma":0.0006093346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007326877,"about_ca_topic_score_gemma":0.00160168,"domain_scores_codex":[0.9998024,0.00003321272,0.00001688203,0.00006318025,0.0000688225,0.00001551272],"domain_scores_gemma":[0.9994828,0.0001146811,0.00009451753,0.00007195722,0.0002010642,0.00003500526],"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":[0.0002231486,0.00008993578,0.003648568,0.0006818324,0.0001070346,0.0004265255,0.00010255,0.002678826,0.8663066,0.001266291,0.001886256,0.1225824],"study_design_scores_gemma":[0.0001915846,0.0009089566,0.0370096,0.0002273911,0.000383316,0.008491955,0.0001365721,0.1160394,0.7927226,0.00504643,0.03865871,0.0001835408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2039407,0.007161268,0.7793556,0.0010777,0.0002266896,0.0002643956,0.001096408,0.002732729,0.004144432],"genre_scores_gemma":[0.3661876,0.004123765,0.6234525,0.0005768338,0.0002035305,0.0002046684,0.001060465,0.0003371901,0.003853295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001366043,"threshold_uncertainty_score":0.005543768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526029889261153,"score_gpt":0.3110646020316734,"score_spread":0.2958043031390619,"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."}}