{"id":"W2470707589","doi":"10.1016/j.jphotobiol.2016.06.034","title":"Liposomal nanoformulations of rhodamine for targeted photodynamic inactivation of multidrug resistant gram negative bacteria in sewage treatment plant","year":2016,"lang":"en","type":"article","venue":"Journal of Photochemistry and Photobiology B Biology","topic":"Photodynamic Therapy Research Studies","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Children's Health Research Institute","keywords":"Singlet oxygen; Liposome; Photosensitizer; Chemistry; Photodynamic therapy; Rhodamine 6G; Phototoxicity; Antimicrobial; Rhodamine 123; Rose bengal; Multiple drug resistance; Photochemistry; Biophysics; Biochemistry; Organic chemistry; Oxygen; Biology; Antibiotics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001589271,0.0001417328,0.0001421647,0.00006737236,0.00007022995,0.0001820914,0.0001104549,0.000189052,0.0004643708],"category_scores_gemma":[0.0001169774,0.00008201797,0.0001685502,0.00004894177,0.0001075778,0.0002133026,0.0001437263,0.0002479049,0.0001219597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827344,"about_ca_system_score_gemma":0.0001787902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008075883,"about_ca_topic_score_gemma":0.001016158,"domain_scores_codex":[0.9999447,0.000009588071,0.000005071269,0.00001296553,0.00001271883,0.00001487507],"domain_scores_gemma":[0.9999498,0.000008926889,0.00001625173,0.000003057483,0.0000138536,0.000008118232],"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":[0.00007224637,0.0000171572,0.00004743463,0.00003366481,0.00000236779,0.00001218911,0.0000126069,0.0001030083,0.9985598,0.00003893209,0.00001839071,0.001082228],"study_design_scores_gemma":[0.000009631295,0.0004390763,0.0007620665,0.000005600435,0.00001469488,0.00002787179,0.00001694383,0.001132794,0.9972139,0.000008465054,0.000365359,0.000003580886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980347,0.0004687661,0.001144901,0.00002274683,0.00001017185,0.00001104047,0.00002723626,0.00001697836,0.0002635044],"genre_scores_gemma":[0.9976165,0.000301666,0.001091454,0.00001643411,0.000002734826,0.00001144254,0.0000373488,0.000004934667,0.0009173717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008075883,"threshold_uncertainty_score":0.001605749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01639955320139902,"score_gpt":0.3127827170231431,"score_spread":0.2963831638217441,"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."}}