{"id":"W2163828524","doi":"10.1117/1.jbo.17.5.056008","title":"Spatial frequency domain tomography of protoporphyrin IX fluorescence in preclinical glioma models","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Air Force Office of Scientific Research; National Institute of Biomedical Imaging and Bioengineering; National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Cancer Institute; National Institutes of Health; University of Toronto; Fondation pour la Recherche Médicale; Dartmouth College; Arnold and Mabel Beckman Foundation","keywords":"Protoporphyrin IX; Spheroid; In vivo; Glioma; Fluorescence; Spatial frequency; Tomography; Optics; Nuclear magnetic resonance; Attenuation coefficient; Materials science; Glioblastoma; Scattering; Biomedical engineering; Contrast (vision); Nuclear medicine; Chemistry; Physics; Medicine; Biology; In vitro; Cancer research","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001662,0.0001495896,0.000407717,0.0003417121,0.00001570133,0.00001070705,0.0002834622,0.0001624769,0.00003918705],"category_scores_gemma":[0.0002488313,0.0001233049,0.0001616383,0.0004340688,0.0002212745,0.0002925671,0.0000311531,0.0005416906,0.000001974715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006214828,"about_ca_system_score_gemma":0.00008953636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001408906,"about_ca_topic_score_gemma":0.000001135086,"domain_scores_codex":[0.9978613,0.00004579505,0.001034323,0.00008267874,0.0005672425,0.0004087215],"domain_scores_gemma":[0.9990036,0.0002323714,0.0002076459,0.0001489344,0.00008334064,0.0003240799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005744131,0.005764782,0.05910153,0.002036417,0.0009278678,0.001195037,0.01075324,0.005497192,0.836181,0.00833935,0.002298448,0.0673307],"study_design_scores_gemma":[0.01807751,0.003340207,0.05388132,0.005551955,0.0006583083,0.0039332,0.003645791,0.727539,0.09541845,0.08342387,0.001656406,0.002873953],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310376,0.0008244244,0.1660647,0.0001055205,0.0009404642,0.0002290728,0.00001497469,0.00002553749,0.0007577082],"genre_scores_gemma":[0.9284887,0.00009475206,0.07099105,0.00001431315,0.0003849211,0.000004974378,0.000001493396,0.00001856759,0.00000120366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7407626,"threshold_uncertainty_score":0.5028229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01701288165186789,"score_gpt":0.2623805267339652,"score_spread":0.2453676450820974,"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."}}