{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001304828,0.0002190309,0.000175116,0.0001266496,0.0001047477,0.0002024604,0.0001489934,0.0001899386,0.0008026682],"category_scores_gemma":[0.00008999382,0.00008268335,0.0001101364,0.00008672653,0.0002311119,0.0001355453,0.0001098258,0.0003418929,0.0001377064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564623,"about_ca_system_score_gemma":0.0002458477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004087723,"about_ca_topic_score_gemma":0.0008914741,"domain_scores_codex":[0.9999267,0.00001903917,0.000005903317,0.00001133882,0.00002057083,0.00001631513],"domain_scores_gemma":[0.9999533,0.000005960845,0.00001477844,0.000005005018,0.000005878211,0.00001518937],"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":[0.0001801484,0.00004507534,0.00008536918,0.0000462332,0.000005048042,0.00005041708,0.00001327987,0.00006165983,0.997577,0.0001458787,0.00008386031,0.001706086],"study_design_scores_gemma":[0.00003835959,0.0006902281,0.00178623,0.000005320207,0.00001371591,0.0003381313,0.00001640126,0.0006554438,0.9913127,0.00003730028,0.005102596,0.000003565576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933873,0.002765562,0.002041048,0.0001799768,0.00004871951,0.00002372905,0.0001380441,0.00005667127,0.001359167],"genre_scores_gemma":[0.9907529,0.002631482,0.00229048,0.00008138813,0.00003157565,0.00003998325,0.0002931729,0.00001290003,0.003866151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008026682,"threshold_uncertainty_score":0.002685189,"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."}}