{"id":"W2121389632","doi":"10.2174/1381612023393198","title":"Structure-based Design of Mimetics for Granulocyte-macrophage Colony Stimulating Factor (GM-CSF)","year":2002,"lang":"en","type":"review","venue":"Current Pharmaceutical Design","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Arthritis Society; University of Pennsylvania; U.S. Army Medical Research Acquisition Activity; U.S. Public Health Service; Arthritis Foundation; National Institutes of Health; American Cancer Society","keywords":"Granulocyte macrophage colony-stimulating factor; Granulocyte colony-stimulating factor; Granulocyte; Macrophage; Granulocyte macrophage colony-stimulating factor receptor; Colony-stimulating factor; Immunology; Biology; Macrophage colony-stimulating factor; Chemistry; Cytokine; Cell biology; Biochemistry; In vitro; Haematopoiesis; Genetics; Stem cell","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":[0.0001506757,0.0004139178,0.0002871504,0.0001917508,0.0001149822,0.000301438,0.0003817815,0.0003269974,0.0008518391],"category_scores_gemma":[0.0002307836,0.0001903748,0.0003226099,0.0001432142,0.0001350127,0.0002332397,0.0002138225,0.0004760875,0.0004000645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003883799,"about_ca_system_score_gemma":0.0002403074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002239867,"about_ca_topic_score_gemma":0.0002269583,"domain_scores_codex":[0.9999266,0.00001844397,0.00000694915,0.00001251361,0.00001827004,0.00001728066],"domain_scores_gemma":[0.9999405,0.00001073743,0.0000218044,0.000003267226,0.000009180419,0.00001452539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003752639,0.0001399042,0.0001432367,0.00009872731,0.00001618512,0.0001804395,0.00002639339,0.005235116,0.9866502,0.0007409391,0.0001178888,0.006275499],"study_design_scores_gemma":[0.0002650268,0.00320355,0.0009659745,0.00002587894,0.00008009894,0.0004292032,0.00004273712,0.01558312,0.9681516,0.0003101851,0.01091868,0.00002392103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9688333,0.002844686,0.02344182,0.0001688903,0.00009921621,0.0005511153,0.0003091647,0.0001300476,0.003621719],"genre_scores_gemma":[0.9647163,0.002394517,0.03025219,0.0001511211,0.00002164015,0.0002304987,0.0005192471,0.00002614682,0.001688486],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0008518391,"threshold_uncertainty_score":0.002849698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2607958587657218,"score_gpt":0.4192202198026072,"score_spread":0.1584243610368854,"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."}}