{"id":"W1612357139","doi":"10.1109/iembs.1990.690981","title":"Analysis Of Multicomponent T2 Relaxation Using Tissue-simulating Systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Relaxation (psychology); Compartment (ship); Capillary action; Biological system; Proton; Chemistry; Nuclear magnetic resonance; Materials science; Chemical physics; Physics; Thermodynamics; Geology; Biology; Neuroscience; Nuclear physics","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":[0.0005365126,0.0005241478,0.0003976105,0.0004414319,0.0002571834,0.0003496439,0.0004288761,0.0006646506,0.0007641955],"category_scores_gemma":[0.001238431,0.0002247961,0.0002803831,0.0004095805,0.0002580131,0.0004304686,0.0002656112,0.0004429973,0.0001957564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003825197,"about_ca_system_score_gemma":0.0003918521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001575211,"about_ca_topic_score_gemma":0.0009566325,"domain_scores_codex":[0.9999056,0.00002242973,0.000006311255,0.00002370119,0.00003004002,0.00001196756],"domain_scores_gemma":[0.9996729,0.0002083704,0.00003223051,0.00002858009,0.00003976958,0.00001817351],"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":[0.0002626213,0.00007728963,0.0008829696,0.0001897631,0.00005248715,0.0001679818,0.0001320356,0.1290067,0.8483453,0.002239842,0.0001807383,0.01846225],"study_design_scores_gemma":[0.00001848604,0.0001599026,0.001343705,0.000005699482,0.00002057228,0.0001054797,0.00001877006,0.8358764,0.1606192,0.0008655256,0.0009430106,0.00002344209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5203018,0.0006269771,0.4770676,0.000123141,0.00002753789,0.0001151876,0.000177931,0.0006759341,0.0008837958],"genre_scores_gemma":[0.7525917,0.0006505187,0.2450819,0.00003832105,0.00001544052,0.0001758861,0.0002741326,0.0001308165,0.001041279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001575211,"threshold_uncertainty_score":0.003132105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04821492465120152,"score_gpt":0.3839583841274776,"score_spread":0.3357434594762761,"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."}}