{"id":"W3129146706","doi":"10.1038/s41598-021-83046-x","title":"The neurorepellent, Slit2, prevents macrophage lipid loading by inhibiting CD36-dependent binding and internalization of oxidized low-density lipoprotein","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of British Columbia; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children; Toronto General Hospital Research Institute, University Health Network; Government of Canada","keywords":"CD36; Scavenger receptor; Internalization; Macrophage; Foam cell; Cell biology; Chemistry; Receptor; Lipoprotein; In vitro; Biology; Cholesterol; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008953517,0.0001173351,0.0001314931,0.00002902767,0.0003194658,0.0001627162,0.00009219532,0.00007272171,0.00001929842],"category_scores_gemma":[0.0002219738,0.0000966365,0.0000959157,0.0001448376,0.0001406521,0.000009451114,0.0002693082,0.00005637305,0.000001269507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001714233,"about_ca_system_score_gemma":0.0000785764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002991252,"about_ca_topic_score_gemma":0.00003090757,"domain_scores_codex":[0.9984152,0.00009023678,0.0004233529,0.0005853092,0.0002764096,0.0002095435],"domain_scores_gemma":[0.9989728,0.00001236645,0.0003696991,0.0004144908,0.0001622087,0.00006846518],"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":[0.00001522235,0.00002946362,0.002276519,0.00003285596,0.00002544487,0.00004333557,0.0000457896,0.000007525518,0.9926962,0.000006456054,0.001795645,0.003025541],"study_design_scores_gemma":[0.0001425311,0.00002031244,0.0001217543,0.00007492057,0.00001456435,0.0001191894,0.00008583235,0.00004199733,0.9924757,0.00009688199,0.006706714,0.00009961929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944883,0.002313039,0.001293576,0.00003543481,0.00151244,0.0001650277,0.000006327075,0.000007720438,0.0001781251],"genre_scores_gemma":[0.9953838,0.00024239,0.00008786751,0.00002349693,0.0000935995,0.00000975283,0.00007776637,0.0000165269,0.004064777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004911068,"threshold_uncertainty_score":0.3940722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007362419813332322,"score_gpt":0.2374873167288627,"score_spread":0.2301248969155304,"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."}}