{"id":"W2188744846","doi":"10.2310/7290.2012.00028","title":"Comparison of Computed Tomography– and Optical Image–Based Assessment of Liposome Distribution","year":2013,"lang":"en","type":"article","venue":"Molecular Imaging","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Ontario Institute for Cancer Research; University Health Network","keywords":"Liposome; Biodistribution; Nanocarriers; Optical coherence tomography; In vivo; Iohexol; Biomedical engineering; Fluorescence-lifetime imaging microscopy; Molecular imaging; Preclinical imaging; Positron emission tomography; Medicine; Materials science; Drug delivery; Radiology; Nanotechnology; Fluorescence; Optics; Biology; Physics; Internal medicine","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":[0.0007674544,0.0003074463,0.0001286873,0.001098758,0.0001071154,0.0004582022,0.0003086648,0.0003492977,0.00098595],"category_scores_gemma":[0.001273205,0.0001723699,0.0001255926,0.0003173275,0.0004426978,0.0005495572,0.000230625,0.0003536176,0.0001802566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005869399,"about_ca_system_score_gemma":0.0003860993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002040501,"about_ca_topic_score_gemma":0.001576483,"domain_scores_codex":[0.9997861,0.00007057258,0.00001679633,0.00003541492,0.00006204568,0.00002899958],"domain_scores_gemma":[0.9994062,0.0002390004,0.0001237741,0.00003307896,0.0001652225,0.00003270026],"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":[0.0004932503,0.00003513449,0.001998763,0.00008011722,0.00001369362,0.00006117037,0.00004849198,0.000771119,0.988715,0.0003219478,0.00006872928,0.007392569],"study_design_scores_gemma":[0.00002928145,0.0002033834,0.008194383,0.00001559937,0.00003990541,0.0003414188,0.0000663484,0.01227502,0.9778485,0.00008310691,0.000878075,0.00002499037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9250741,0.004100065,0.06457502,0.0002622419,0.00004044603,0.0001589386,0.0003782732,0.0003072205,0.005103636],"genre_scores_gemma":[0.9665934,0.001494465,0.0299392,0.0001365915,0.0000136169,0.0001142595,0.0002515827,0.00005979758,0.001396991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002040501,"threshold_uncertainty_score":0.004258573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004473415440370477,"score_gpt":0.250053532020897,"score_spread":0.2455801165805266,"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."}}