{"id":"W4323357719","doi":"10.1021/cbmi.3c00005","title":"Protease-Activatable Porphyrin Molecular Beacon for Osteoarthritis Management","year":2023,"lang":"en","type":"article","venue":"Chemical & Biomedical Imaging","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Arthritis Society; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Princess Margaret Cancer Foundation; University Health Network Foundation; Canada Research Chairs; University of Toronto; Canada Foundation for Innovation","keywords":"Porphyrin; Photodynamic therapy; Linker; Chemistry; Osteoarthritis; Protease; Cleavage (geology); Fluorescence-lifetime imaging microscopy; Biophysics; Metalloproteinase; Cancer research; Matrix metalloproteinase; Chlorin; In vitro; Biochemistry; Fluorescence; Medicine; Materials science; Pathology; Enzyme; Biology; Organic chemistry","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":[0.0002597745,0.0003332845,0.0002080171,0.0004420741,0.0001453139,0.0003120994,0.0003275303,0.0006735605,0.003638428],"category_scores_gemma":[0.0002274483,0.0002278436,0.000177197,0.0002322063,0.000169534,0.0004300425,0.0003331724,0.0005151579,0.001002374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002991517,"about_ca_system_score_gemma":0.0002026344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003331638,"about_ca_topic_score_gemma":0.0005367719,"domain_scores_codex":[0.9998538,0.00001913028,0.000007806657,0.00004701,0.00004819655,0.00002412406],"domain_scores_gemma":[0.9999075,0.00002561747,0.00002443364,0.000006620524,0.00002339804,0.00001247565],"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":[0.00005227498,0.000009124978,0.00005160106,0.00006776922,0.000002788577,0.00004426698,0.00001000214,0.0001132635,0.9930784,0.0001778364,0.0003072345,0.006085248],"study_design_scores_gemma":[0.00001591087,0.000135823,0.0007555,0.00001645879,0.00001035864,0.0002084162,0.00002219439,0.004047362,0.9888699,0.0001219429,0.005783904,0.00001219833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6756936,0.02484124,0.269013,0.00239059,0.0004977913,0.0003349463,0.001430402,0.004370438,0.02142797],"genre_scores_gemma":[0.8360687,0.008104065,0.1331555,0.0005289591,0.0001205361,0.0003628978,0.0006632619,0.0001548,0.02084126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003638428,"threshold_uncertainty_score":0.01217175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00700903730182802,"score_gpt":0.2510638112835561,"score_spread":0.2440547739817281,"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."}}