{"id":"W2965235977","doi":"10.1111/php.13181","title":"Long‐Circulating Prostate‐Specific Membrane Antigen‐Targeted NIR Phototheranostic Agent","year":2019,"lang":"en","type":"article","venue":"Photochemistry and Photobiology","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Terry Fox Research Institute; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Princess Margaret Cancer Foundation; Health Research","keywords":"Glutamate carboxypeptidase II; Prostate-specific antigen; Antigen; Prostate; Chemistry; Medicine; Immunology; Internal medicine; Cancer","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":[0.0001075776,0.000186712,0.0001676596,0.0001107444,0.0001252842,0.0001975149,0.0001649172,0.0002486309,0.001012552],"category_scores_gemma":[0.00009289305,0.00007374807,0.0001192127,0.0001074154,0.0001237317,0.0002305272,0.0001981687,0.0005417061,0.0003327384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004315221,"about_ca_system_score_gemma":0.0003026544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000517941,"about_ca_topic_score_gemma":0.0006794264,"domain_scores_codex":[0.9999484,0.000007426311,0.000002344178,0.00001465935,0.00001269176,0.00001450187],"domain_scores_gemma":[0.9999645,0.000005076189,0.000009602243,0.000003197704,0.000005241572,0.00001236383],"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":[0.00003648336,0.00002607072,0.00004634679,0.00004499155,0.000003054615,0.00004358681,0.000008481894,0.0001476817,0.9937136,0.0003090195,0.0001096672,0.005510959],"study_design_scores_gemma":[0.00001910082,0.0001761459,0.0004792777,0.000004037129,0.00001248036,0.0001355538,0.000005161879,0.001216198,0.9897321,0.00005401321,0.008158864,0.000007087796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935365,0.0194209,0.0374542,0.0005534003,0.0001320804,0.00009538296,0.0002887976,0.0003736656,0.006316438],"genre_scores_gemma":[0.9796875,0.003175345,0.01179108,0.0001584916,0.00004383305,0.00007050052,0.000173073,0.00001985691,0.004880426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001012552,"threshold_uncertainty_score":0.003387392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005958760190945338,"score_gpt":0.1922076701310657,"score_spread":0.1862489099401203,"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."}}