{"id":"W2969627244","doi":"10.1039/c9pp00221a","title":"Hydrogels: soft matters in photomedicine","year":2019,"lang":"en","type":"article","venue":"Photochemical & Photobiological Sciences","topic":"Photodynamic Therapy Research Studies","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"University of California, Davis; H2020 Marie Skłodowska-Curie Actions; Technische Universität München; Freie Universität Berlin; Studienstiftung des Deutschen Volkes; Trinity College Dublin; Universität Potsdam; Deutsche Forschungsgemeinschaft; Science Foundation Ireland; European Commission","keywords":"Photodynamic therapy; Self-healing hydrogels; Photosensitizer; Nanotechnology; Biocompatible material; Drug delivery; Cancer therapy; Chemistry; Materials science; Biomedical engineering; Medicine; Cancer; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001012441,0.0003080528,0.000734349,0.0002088487,0.00009218894,0.00002960493,0.0005318829,0.0001847145,0.00297944],"category_scores_gemma":[0.0003826105,0.0001897553,0.0001723349,0.001060372,0.001406674,0.0001086301,0.0002477229,0.0005714549,0.0003439434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001993226,"about_ca_system_score_gemma":0.0001158095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001775126,"about_ca_topic_score_gemma":0.0000101212,"domain_scores_codex":[0.9968876,0.00008806848,0.0004817388,0.00090623,0.0006673568,0.0009690141],"domain_scores_gemma":[0.9986952,0.0005253244,0.00008652266,0.0003342521,0.0000551419,0.0003035546],"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":[0.0003485243,0.0002680249,0.05499192,0.00004158998,0.00002570692,0.00004667815,0.0001078923,0.000003398105,0.9431027,0.00003585748,0.00060224,0.0004254431],"study_design_scores_gemma":[0.00881052,0.005336392,0.06838797,0.0008657359,0.00005038872,0.0003300117,0.001581938,0.003476336,0.8822712,0.004596037,0.02296959,0.001323828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874132,0.0003702554,0.000005531637,0.002501098,0.0001133664,0.001711329,0.00001132616,0.0001259077,0.007748008],"genre_scores_gemma":[0.9927254,0.0001389709,0.0003331195,0.006161643,0.00006007697,0.0002304776,0.00001724553,0.00001283594,0.0003202189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06083147,"threshold_uncertainty_score":0.997932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691970246183171,"score_gpt":0.3372171846709549,"score_spread":0.3102974822091231,"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."}}