{"id":"W4390511316","doi":"10.1007/s43630-023-00514-1","title":"aPDI meets PPE: photochemical decontamination in healthcare using methylene blue—where are we now, where will we go?","year":2024,"lang":"en","type":"article","venue":"Photochemical & Photobiological Sciences","topic":"Photodynamic Therapy Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Reuse; Human decontamination; Personal protective equipment; Economic shortage; Context (archaeology); Methylene blue; Coronavirus disease 2019 (COVID-19); Health care; Business; Medical emergency; Waste management; Medicine; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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"],"consensus_categories":[],"category_scores_codex":[0.001579829,0.0006772979,0.001206482,0.0003771657,0.0003246289,0.0001764404,0.0008246005,0.0006275433,0.0007526655],"category_scores_gemma":[0.0005197935,0.0004636748,0.0004003585,0.002110622,0.001782764,0.0003836763,0.0004846623,0.001419475,0.00005945048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042646,"about_ca_system_score_gemma":0.0004238187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000614378,"about_ca_topic_score_gemma":0.0006714494,"domain_scores_codex":[0.9941238,0.0003421945,0.0009782851,0.001855196,0.001122308,0.001578257],"domain_scores_gemma":[0.9974301,0.00108436,0.0001892417,0.0004616266,0.0002129677,0.0006217005],"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":[0.0003825911,0.0003606003,0.005291224,0.0005867663,0.00009217679,0.0002407239,0.0003734817,0.000009734882,0.9889854,0.000133216,0.001754601,0.001789454],"study_design_scores_gemma":[0.002922506,0.002084536,0.002709764,0.006691604,0.0001500981,0.00056601,0.002368568,0.023051,0.8967047,0.006236779,0.05483221,0.001682214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362041,0.03236344,0.00005519603,0.02777189,0.0002742689,0.002478164,0.0001170164,0.0003414939,0.0003944345],"genre_scores_gemma":[0.9807893,0.01594113,0.001445478,0.000669542,0.0002410906,0.0006150126,0.00003515792,0.00004351939,0.0002197589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09228072,"threshold_uncertainty_score":0.9997815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06357327932330237,"score_gpt":0.3942973982342324,"score_spread":0.3307241189109301,"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."}}