{"id":"W3113375516","doi":"10.1021/acsami.0c17296","title":"Ophthalmic Drops with Nanoparticles Derived from a Natural Product for Treating Age-Related Macular Degeneration","year":2020,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"West China Hospital, Sichuan University; National Natural Science Foundation of China; Department of Science and Technology of Sichuan Province; China Postdoctoral Science Foundation; Sichuan University; Ministry of Science and Technology of the People's Republic of China","keywords":"Eye drop; Macular degeneration; Drop (telecommunication); Materials science; Biophysics; Ophthalmology; Medicine; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00004220241,0.0002335276,0.0003812209,0.00002170296,0.00009189601,0.0001097922,0.00007787914,0.00004694313,0.0001153697],"category_scores_gemma":[0.00002622771,0.000161825,0.0000240386,0.00007289097,0.00005609494,0.00007184068,0.00003791022,0.00004696725,0.00004285836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003331815,"about_ca_system_score_gemma":0.00003106151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000070082,"about_ca_topic_score_gemma":0.000003899383,"domain_scores_codex":[0.9988571,0.00002634945,0.0003074956,0.0004361143,0.0001504863,0.0002223891],"domain_scores_gemma":[0.999518,0.00002717153,0.0001404841,0.000168075,0.00005332167,0.00009292414],"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":[0.002822035,0.00008938852,0.000337789,0.000111612,0.0003209712,0.00005777521,0.0005106211,0.00002455266,0.9947083,0.00007763851,0.00003161762,0.0009077187],"study_design_scores_gemma":[0.002403576,0.0004597169,0.002575786,0.000104552,0.0004622085,0.00001487139,0.0001963263,0.00002307317,0.9934173,0.0001613507,0.00001001743,0.000171286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971807,0.0006047497,0.00001110547,0.0005966306,0.00009147124,0.001225225,0.00009521675,0.0001088091,0.00008610583],"genre_scores_gemma":[0.9967373,0.00001872754,0.002023644,0.0001744764,0.0001477957,0.0002583381,0.0005429793,0.00004685474,0.00004987028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002237997,"threshold_uncertainty_score":0.6599032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171527858708506,"score_gpt":0.2561963443531392,"score_spread":0.2390435584822886,"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."}}