{"id":"W2130145214","doi":"10.1152/japplphysiol.00178.2008","title":"Mapping and quantifying hyperpolarized <sup>3</sup>He magnetic resonance imaging apparent diffusion coefficient gradients","year":2008,"lang":"en","type":"article","venue":"Journal of Applied Physiology","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Merck Canada","keywords":"Effective diffusion coefficient; Nuclear medicine; Magnetic resonance imaging; Standard deviation; Voxel; Medicine; Coefficient of variation; COPD; Nuclear magnetic resonance; Chemistry; Radiology; Mathematics; Physics; Internal medicine","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":[0.0005134264,0.0004287605,0.0003547795,0.000405153,0.000136267,0.0005801641,0.000210037,0.0004668659,0.000656112],"category_scores_gemma":[0.0007435512,0.000254176,0.0001178529,0.0002025442,0.0003479702,0.0004369298,0.0002410463,0.0002378701,0.0001910934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009176241,"about_ca_system_score_gemma":0.0001432024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065635,"about_ca_topic_score_gemma":0.001722995,"domain_scores_codex":[0.999853,0.00004509588,0.00001202733,0.00004012372,0.00002561319,0.00002402876],"domain_scores_gemma":[0.9996941,0.00008254797,0.00006945696,0.00003965548,0.00008570739,0.0000285865],"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":[0.0009427487,0.0000659011,0.02620924,0.0001725655,0.00007235046,0.0003422573,0.0001869633,0.0008094908,0.9540777,0.0002106578,0.0001440444,0.01676612],"study_design_scores_gemma":[0.0001374947,0.001564019,0.2868296,0.00004788034,0.0003351406,0.003150573,0.0005411406,0.01756692,0.685649,0.0009181688,0.003185088,0.00007498547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777637,0.001156586,0.02014486,0.00004141248,0.00000868008,0.00005356205,0.0001679957,0.00005910515,0.0006041212],"genre_scores_gemma":[0.9793742,0.0006798689,0.01903132,0.00006058987,0.00001333223,0.00006732223,0.0002389874,0.00003458805,0.0004999227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001065635,"threshold_uncertainty_score":0.00271523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337764207791344,"score_gpt":0.2604208003415899,"score_spread":0.2370431582636765,"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."}}