{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001538293,0.0002610935,0.0002005332,0.0002659228,0.0001043759,0.0002034955,0.0001529942,0.0004001243,0.0006410106],"category_scores_gemma":[0.00009378363,0.0001026903,0.0003150234,0.00007990249,0.0001590708,0.0001946358,0.0001723796,0.000319304,0.0002266867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049588,"about_ca_system_score_gemma":0.0001191968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005101091,"about_ca_topic_score_gemma":0.001063263,"domain_scores_codex":[0.9999272,0.000009412171,0.000004563237,0.00001104098,0.00003817478,0.000009648212],"domain_scores_gemma":[0.9999608,0.000008425713,0.00001216761,0.000002654327,0.00000772402,0.000008230626],"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":[0.00004084263,0.00002929089,0.00004745339,0.00008970785,0.00000816833,0.00005355903,0.0000128207,0.0001079469,0.9923867,0.0001120541,0.0001491932,0.006962304],"study_design_scores_gemma":[0.0000511857,0.0007359779,0.0008836643,0.00002061927,0.00004186338,0.0003195892,0.00001537184,0.001522275,0.9868863,0.00006902847,0.009443924,0.00001010617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246662,0.0361835,0.03006358,0.0008434228,0.0002981092,0.0003937087,0.000269055,0.0003960843,0.006886364],"genre_scores_gemma":[0.9648724,0.009647047,0.0202412,0.0003701935,0.00005586654,0.000116604,0.0001579085,0.0000335534,0.004505298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006410106,"threshold_uncertainty_score":0.002212584,"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."}}