{"id":"W2114968362","doi":"10.1063/1.2930799","title":"A robust and reliable method for detecting signals of interest in multiexponential decays","year":2008,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Vrije Universiteit Amsterdam","keywords":"Relaxation (psychology); SIGNAL (programming language); Null (SQL); Detection theory; Noise (video); Spectrum (functional analysis); Null hypothesis; Invertible matrix","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":[0.0007220416,0.00007717819,0.0003510747,0.0001199671,0.00007320496,0.000003606764,0.00007624659,0.00003301712,0.00002227721],"category_scores_gemma":[0.0001567352,0.00006576821,0.00007313124,0.000331163,0.0001246839,0.00006898186,0.0000503031,0.00006439626,9.240638e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002574614,"about_ca_system_score_gemma":0.00004433032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001602777,"about_ca_topic_score_gemma":0.000003583442,"domain_scores_codex":[0.9990329,0.00001694322,0.0004857461,0.0002309268,0.00010134,0.0001322132],"domain_scores_gemma":[0.9993154,0.00004096434,0.0002343074,0.000220251,0.0001420469,0.00004704668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008808538,0.0004916759,0.003396904,0.0136741,0.00002559667,0.000002868821,0.0002129846,0.00001744338,0.3599941,0.0009706948,0.0007342001,0.6203914],"study_design_scores_gemma":[0.00281517,0.0004233349,0.001384932,0.03584275,0.0001739799,0.0001372629,0.0001356354,0.01288624,0.9280203,0.001188685,0.01671406,0.0002776525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9378865,0.003002241,0.05684832,0.0001170043,0.0000800244,0.001802215,0.00002476249,0.00001866808,0.0002202032],"genre_scores_gemma":[0.5788918,0.004942309,0.4158277,0.00004962136,0.000008897952,0.0001036805,0.00001543268,0.000008934345,0.0001516577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6201137,"threshold_uncertainty_score":0.268195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1442070238506888,"score_gpt":0.3822056829602871,"score_spread":0.2379986591095984,"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."}}