{"id":"W4404567084","doi":"10.3390/tomography10110135","title":"A Comparison of the Sensitivity and Cellular Detection Capabilities of Magnetic Particle Imaging and Bioluminescence Imaging","year":2024,"lang":"en","type":"article","venue":"Tomography","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Bioluminescence; Sensitivity (control systems); Magnetic particle imaging; Bioluminescence imaging; Nuclear magnetic resonance; Physics; Nanotechnology; Chemistry; Materials science; Magnetic nanoparticles; Luciferase; Engineering; Nanoparticle; Electronic engineering; Biochemistry","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":[0.003054767,0.000631146,0.0005788195,0.001172364,0.0002369428,0.0010302,0.0006475424,0.001040947,0.001290924],"category_scores_gemma":[0.006323766,0.0003551666,0.0003732092,0.0005657161,0.0006210755,0.001105341,0.0005814448,0.0006303278,0.0006042718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006997845,"about_ca_system_score_gemma":0.0004591886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006480057,"about_ca_topic_score_gemma":0.0005265569,"domain_scores_codex":[0.9981306,0.0006199114,0.0001052133,0.0002853653,0.0007115342,0.0001473533],"domain_scores_gemma":[0.9942353,0.004101557,0.0003628831,0.000155208,0.001047753,0.00009730615],"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":[0.0005229413,0.00006708154,0.002969054,0.0007371947,0.00008744536,0.0001166072,0.0001168216,0.001247554,0.9527286,0.0007578285,0.0003384071,0.04031053],"study_design_scores_gemma":[0.00002090135,0.0007229848,0.009309773,0.00009852102,0.0001978158,0.001171624,0.00008324136,0.006279703,0.9740546,0.0004803902,0.007533966,0.00004638981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6886549,0.06674805,0.2211636,0.001616089,0.0004415778,0.0002892189,0.0006342313,0.001010558,0.01944173],"genre_scores_gemma":[0.9212884,0.01658855,0.05758839,0.0007625694,0.0001629154,0.0002257861,0.0006393336,0.0001114068,0.002632742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003054767,"threshold_uncertainty_score":0.01615536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005073485170037226,"score_gpt":0.2058012966724596,"score_spread":0.2007278115024223,"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."}}