{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001272095,0.0003777745,0.0004277011,0.00005526907,0.00008338963,0.00003823066,0.000205715,0.0002725607,0.001226596],"category_scores_gemma":[0.0000156606,0.0003707385,0.00009296579,0.0001784941,0.0001064867,0.0000906979,0.00004398482,0.0003337134,0.0001169691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008627841,"about_ca_system_score_gemma":0.00003009991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001904097,"about_ca_topic_score_gemma":0.000003445902,"domain_scores_codex":[0.9984719,0.00001712399,0.0003901391,0.0004449062,0.0001156419,0.0005603231],"domain_scores_gemma":[0.9991958,0.0001190652,0.00007504497,0.0004196625,0.00004458323,0.0001458994],"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":[0.00008397632,0.00002206829,0.005610399,0.0003264446,0.000104605,0.00002529017,0.0003389264,0.0005650742,0.9922668,0.000007861574,0.0001021053,0.0005464145],"study_design_scores_gemma":[0.001134055,0.00006725844,0.0009904994,0.00007892775,0.0000158043,0.0001292418,0.00007864537,0.002101288,0.9858816,0.0001546553,0.008871835,0.0004962366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921345,0.003037524,0.0001556879,0.000007072445,0.0006326411,0.0008672704,0.0001000301,0.0003034055,0.002761877],"genre_scores_gemma":[0.9979191,0.001096461,0.0001681382,0.00009407147,0.0001065473,0.0001012905,0.0001690588,0.0000771175,0.0002682603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008769729,"threshold_uncertainty_score":0.9998745,"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."}}