{"id":"W2047463495","doi":"10.1007/s11307-014-0788-2","title":"Hyperpolarized and Inert Gas MRI: The Future","year":2014,"lang":"en","type":"review","venue":"Molecular Imaging and Biology","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thunder Bay Regional Research Institute; University of Alberta; Lakehead University","funders":"","keywords":"Hyperpolarization (physics); Magnetic resonance imaging; Nuclear magnetic resonance; Magnetic resonance spectroscopic imaging; Molecular imaging; Nuclear medicine; Chemistry; Materials science; Medicine; Radiology; Physics; Nuclear magnetic resonance spectroscopy; In vivo","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":[0.001423591,0.0008484271,0.001497209,0.001605467,0.0002575424,0.00171871,0.001423402,0.002744999,0.003500666],"category_scores_gemma":[0.001321633,0.0003167421,0.00039505,0.001731108,0.001554406,0.00435,0.0009757041,0.002628949,0.00169726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009989591,"about_ca_system_score_gemma":0.001653245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183028,"about_ca_topic_score_gemma":0.002215537,"domain_scores_codex":[0.9997824,0.00005754795,0.00001990568,0.0000398804,0.00006646775,0.00003377998],"domain_scores_gemma":[0.9991912,0.0004642132,0.00007482353,0.00002548458,0.0001648992,0.00007942184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001318752,0.00007455766,0.0002020953,0.01206186,0.0000712628,0.0001962915,0.000080401,0.0004227302,0.002708693,0.0140933,0.052831,0.9171258],"study_design_scores_gemma":[0.00001832953,0.00006279646,0.0003800972,0.002239536,0.00005623266,0.0008548651,0.00007959329,0.0001860422,0.0005546001,0.01014892,0.9853952,0.00002376134],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006138014,0.9982621,0.0001433448,0.0007735135,0.0002024383,0.000001425897,0.000008409925,0.000005334449,0.0005420618],"genre_scores_gemma":[0.0008906575,0.9967975,0.000256628,0.0008605457,0.0005883152,0.000004291477,0.00002148718,0.000002390734,0.0005782579],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003500666,"threshold_uncertainty_score":0.01171088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544426977868417,"score_gpt":0.3251837099354178,"score_spread":0.3097394401567337,"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."}}