{"id":"W4318055202","doi":"10.3390/tomography9010016","title":"Dual Magnetic Particle Imaging and Akaluc Bioluminescence Imaging for Tracking Cancer Cell Metastasis","year":2023,"lang":"en","type":"article","venue":"Tomography","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Bioluminescence imaging; Ex vivo; Viability assay; Bioluminescence; Cell; Luciferase; Metastasis; Cancer research; Magnetic particle imaging; Pathology; In vivo; Cancer cell; Nuclear imaging; Chemistry; Cancer; Medicine; Nuclear medicine; Biology; Internal medicine; Magnetic nanoparticles; Gene; Materials science; Nanotechnology; Transfection; Nanoparticle; 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":[0.0008178105,0.0006406912,0.0005321212,0.0009205175,0.0002542674,0.0008577543,0.0007974481,0.001042471,0.001180992],"category_scores_gemma":[0.0005484128,0.0003760651,0.0003239216,0.0005206353,0.0007651771,0.0008820112,0.0007565702,0.001122055,0.0004719111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008685929,"about_ca_system_score_gemma":0.0004394555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296517,"about_ca_topic_score_gemma":0.001828997,"domain_scores_codex":[0.9992825,0.000130242,0.00003375849,0.0001907871,0.0002350847,0.0001277539],"domain_scores_gemma":[0.999738,0.00005789991,0.00007133223,0.00002453047,0.00006045176,0.00004771691],"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":[0.0001164635,0.00002947369,0.0001517544,0.00007383543,0.000004770009,0.00005400911,0.00002256639,0.000162094,0.9945788,0.0007455212,0.0001194529,0.003941291],"study_design_scores_gemma":[0.00003083986,0.0002383053,0.001839849,0.0000120624,0.00001976606,0.0005046949,0.00002669016,0.008277437,0.9849746,0.0002308008,0.003821718,0.00002332617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6483517,0.008967369,0.3242612,0.001243929,0.0003007269,0.0002593962,0.0004838116,0.001201219,0.01493065],"genre_scores_gemma":[0.807594,0.002018854,0.1778524,0.0003507315,0.00008179688,0.0004189835,0.0004194091,0.0001016075,0.01116229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001296517,"threshold_uncertainty_score":0.006302059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109456895243201,"score_gpt":0.2318846288897658,"score_spread":0.2209389393654457,"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."}}