{"id":"W2895021881","doi":"10.1038/s41598-018-33363-5","title":"13C Pyruvate Transport Across the Blood-Brain Barrier in Preclinical Hyperpolarised MRI","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; Nvidia; British Heart Foundation; Lundbeckfonden; Cancer Research UK; Medical Research Council; Novo Nordisk; Aarhus Universitet","keywords":"Blood–brain barrier; Neuroscience; Chemistry; Nuclear magnetic resonance; Physics; Biology; Central nervous system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001526744,0.0001586405,0.0001883271,0.00003193561,0.0005466493,0.0001039101,0.0003529371,0.0001520271,0.0007093594],"category_scores_gemma":[0.0001815749,0.0001175089,0.0001260758,0.0004530355,0.0009924794,0.0001294738,0.00007867789,0.0003122209,0.00002755074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002732319,"about_ca_system_score_gemma":0.0001035723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004130831,"about_ca_topic_score_gemma":0.0001572171,"domain_scores_codex":[0.997627,0.00001589473,0.0007022708,0.0008568492,0.000355827,0.0004421503],"domain_scores_gemma":[0.9978355,0.00008194309,0.0002435573,0.001597467,0.0001228846,0.0001187086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003981105,0.0004985008,0.07414161,0.00004666785,0.0000474699,0.0004816143,0.002621986,0.00006280804,0.8990613,0.0008221161,0.01518119,0.006994943],"study_design_scores_gemma":[0.0002317366,0.00001524739,0.002116214,0.00004926336,0.00002589885,0.0001348445,0.0001752729,0.0002229909,0.3596805,0.01597633,0.6211101,0.0002616382],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888617,0.00006823237,0.0008839671,0.0008517432,0.0004092642,0.000261356,0.00002464561,0.0002056056,0.008433475],"genre_scores_gemma":[0.9772162,0.000005778523,0.001593,0.0001260121,0.0001881508,0.0001385615,0.00005259068,0.00002528476,0.02065437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6059289,"threshold_uncertainty_score":0.7766988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204394589191912,"score_gpt":0.3391426629707113,"score_spread":0.3170987170787922,"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."}}