{"id":"W2114064853","doi":"10.1002/mrm.20356","title":"Detection threshold of single SPIO‐labeled cells with FIESTA","year":2005,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; University of Toronto","funders":"","keywords":"Nuclear magnetic resonance; Voxel; Positron emission tomography; Resolution (logic); Chemistry; Detection limit; Physics; Single-cell analysis; Nuclear medicine; Steady-state free precession imaging; Isotropy; Magnetic resonance imaging; Optics; Cell; Computer science; Radiology; Medicine","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":[0.0001245619,0.0001351777,0.0002395599,0.0001319833,0.00001544735,0.000003754675,0.0001297133,0.0000970149,0.0000762476],"category_scores_gemma":[0.0000318826,0.00009975045,0.0000139231,0.0003414639,0.0002215566,0.00003571414,0.00001943645,0.0001602832,0.000006739889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004877071,"about_ca_system_score_gemma":0.000006398298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004457976,"about_ca_topic_score_gemma":0.0001300014,"domain_scores_codex":[0.9991953,0.000007849109,0.0002651519,0.0001500977,0.0001667135,0.000214908],"domain_scores_gemma":[0.9996157,0.00003695777,0.00003033523,0.0002647277,0.00002833493,0.00002389815],"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":[0.00002994378,0.00002622426,0.0007710868,0.00005418925,0.000001924098,0.00001327402,0.0001663569,0.0002717322,0.7601106,0.00001904881,0.002541328,0.2359943],"study_design_scores_gemma":[0.001428495,0.0009719029,0.006037305,0.0005343636,0.00001736994,0.00002437928,0.0002549179,0.006643222,0.9282675,0.0001199525,0.05548641,0.0002141121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738988,0.0223284,0.0006882328,0.0004674442,0.0001152184,0.0001580783,0.000001354024,0.0002198336,0.002122585],"genre_scores_gemma":[0.9958301,0.001645087,0.002098309,0.00004802358,0.00007743656,0.000005745322,9.867651e-7,0.00001759754,0.0002767445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2357802,"threshold_uncertainty_score":0.4067705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011975061457532,"score_gpt":0.195662633617146,"score_spread":0.1855428830025707,"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."}}