{"id":"W2144794900","doi":"10.7150/thno/v01p0363","title":"Transforming a Targeted Porphyrin Theranostic Agent into a PET Imaging Probe for Cancer","year":2011,"lang":"en","type":"article","venue":"Theranostics","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Ontario Institute for Cancer Research; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; U.S. Department of Defense","keywords":"Biodistribution; Porphyrin; Photodynamic therapy; Positron emission tomography; Chemistry; Fluorescence-lifetime imaging microscopy; Imaging agent; Fluorescence; Molecular imaging; Pharmacokinetics; Pet imaging; Cancer research; Radiochemistry; Biophysics; Nuclear medicine; In vivo; Pharmacology; Medicine; Photochemistry; Biochemistry; In vitro","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":[0.0001074473,0.0001999353,0.0001700966,0.0000986352,0.0001104576,0.000211746,0.0001369687,0.000380998,0.0007051784],"category_scores_gemma":[0.0001362243,0.0001177517,0.00011227,0.0001150737,0.0002152727,0.0002882605,0.0001673161,0.0003204745,0.0002925801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003369492,"about_ca_system_score_gemma":0.0001818752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004529853,"about_ca_topic_score_gemma":0.0005594976,"domain_scores_codex":[0.9999396,0.00001117644,0.000003286915,0.00001976236,0.00001276092,0.00001338727],"domain_scores_gemma":[0.9999714,0.000008462573,0.000007567708,0.000003589414,0.000003422157,0.000005633102],"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":[0.00001665313,0.00001019813,0.00003429504,0.00001953739,0.000001319998,0.00005675783,0.00001264463,0.0002443102,0.996783,0.0003295093,0.00003831296,0.002453566],"study_design_scores_gemma":[0.000005429614,0.00009014549,0.0002040059,0.00000272341,0.000004346774,0.0002070214,0.000009282709,0.002604223,0.9929596,0.0001027219,0.003805916,0.000004510293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675922,0.004269699,0.1206772,0.0006198949,0.00007943119,0.0001642098,0.0002604324,0.0005718189,0.005765135],"genre_scores_gemma":[0.944655,0.00158124,0.04953967,0.000185478,0.00001219294,0.00007074038,0.0001297112,0.00004771807,0.003778248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007051784,"threshold_uncertainty_score":0.002444744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915440345351794,"score_gpt":0.2322586818981607,"score_spread":0.2131042784446428,"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."}}