{"id":"W4324122003","doi":"10.1039/d2sm01683d","title":"Substrate viscoelasticity affects human macrophage morphology and phagocytosis","year":2023,"lang":"en","type":"article","venue":"Soft Matter","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Breakthrough T1D Canada; Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Phagocytosis; Viscoelasticity; Self-healing hydrogels; Morphology (biology); Polyacrylamide; Substrate (aquarium); Macrophage; Materials science; Biophysics; Chemistry; Cell biology; Polymer chemistry; Composite material; Biology; In vitro; Biochemistry; Ecology","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":[0.0002399455,0.0001184373,0.00009233718,0.0001230968,0.0001053988,0.0002212164,0.00006064828,0.0002422104,0.001363011],"category_scores_gemma":[0.0004854953,0.0001297686,0.0001134129,0.00007446691,0.0001084319,0.000117338,0.0001312375,0.0002108121,0.0002355802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102882,"about_ca_system_score_gemma":0.00009470406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004364532,"about_ca_topic_score_gemma":0.0004106626,"domain_scores_codex":[0.9998837,0.00003355482,0.00001026739,0.00001894334,0.00001868402,0.00003481517],"domain_scores_gemma":[0.9997742,0.000112837,0.00003821344,0.00002254615,0.00002597373,0.00002623127],"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":[0.0002675277,0.00003813791,0.00139637,0.00001403098,0.000002361708,0.00007766501,0.00004071368,0.00005636456,0.9968004,0.00002371004,0.00003399492,0.00124876],"study_design_scores_gemma":[0.0000279406,0.001350866,0.04571819,0.00001174627,0.00002262358,0.0005081306,0.0001603909,0.001405576,0.9495419,0.00005314517,0.001188277,0.00001124582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990209,0.0002900533,0.0002264627,0.00001983866,0.000005296196,0.000004177532,0.00003284319,0.000003524762,0.0003969196],"genre_scores_gemma":[0.9988753,0.0002004685,0.0002419772,0.00004034866,0.000003219734,0.00000806653,0.00007659445,0.000003997154,0.0005499512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001363011,"threshold_uncertainty_score":0.004559696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047757786709278,"score_gpt":0.2584299628556632,"score_spread":0.2479523849885704,"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."}}