{"id":"W3106468124","doi":"10.1038/s41598-020-76272-2","title":"Lateral diffusion of CD14 and TLR2 in macrophage plasma membrane assessed by raster image correlation spectroscopy and single particle tracking","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institutes of Health; National Institute of General Medical Sciences; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Tracking (education); Particle (ecology); Raster graphics; Diffusion; CD14; Macrophage; Membrane; Particle filter; Computer science; Materials science; Biology; Chemistry; Computer vision; Physics; Immunology; Biochemistry; Psychology","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":[0.0004593852,0.0002372527,0.0002287622,0.0003947107,0.0002053236,0.0003395119,0.0002605491,0.0004862318,0.0004240519],"category_scores_gemma":[0.0007495018,0.0002000566,0.0002249498,0.0004036566,0.0003310939,0.0004923006,0.0003452494,0.0004641728,0.0001561474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004126997,"about_ca_system_score_gemma":0.0003597304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724362,"about_ca_topic_score_gemma":0.0009657748,"domain_scores_codex":[0.9997788,0.00004789028,0.000009804986,0.00005790326,0.00007215537,0.00003357636],"domain_scores_gemma":[0.9996679,0.0001034304,0.00009775698,0.00002335323,0.00008513726,0.00002252853],"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":[0.00006954569,0.00001285177,0.000517639,0.0000366305,0.000004811791,0.00003452411,0.00004561057,0.0003387034,0.9970963,0.0002618574,0.00003433489,0.001547156],"study_design_scores_gemma":[0.00001099573,0.0001445539,0.005919474,0.000008248282,0.00001733825,0.0001912679,0.00009496943,0.03289096,0.9598378,0.0001712604,0.0006928965,0.00002015681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764516,0.0007362264,0.02189243,0.00009123793,0.00001184967,0.00002154262,0.00011499,0.00007987171,0.000600146],"genre_scores_gemma":[0.965336,0.001471568,0.03129325,0.00007527441,0.000009975792,0.0001148924,0.0001866015,0.00003174051,0.001480569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001724362,"threshold_uncertainty_score":0.003428638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008536147329239787,"score_gpt":0.2331265797515765,"score_spread":0.2245904324223367,"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."}}