{"id":"W1900786728","doi":"10.1111/aor.12547","title":"Fluid–Structure Interactions Analysis of Shear‐Induced Modulation of a Mesenchymal Stem Cell: An Image‐Based Study","year":2015,"lang":"en","type":"article","venue":"Artificial Organs","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Iran National Science Foundation","keywords":"Mesenchymal stem cell; Multiphysics; Shear stress; Fluid dynamics; Cell; Biological system; Computational model; Flow (mathematics); Microchannel; Finite element method; Materials science; Biomedical engineering; Stem cell; Cell biology; Biophysics; Mechanics; Chemistry; Nanotechnology; Computer science; Structural engineering; Simulation; Biology; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001452774,0.0001137601,0.0002138024,0.0002002873,0.00004983518,0.00001854311,0.0001223717,0.00007208317,0.0001071208],"category_scores_gemma":[0.00003057959,0.0001128257,0.0001289186,0.000488421,0.00001802553,0.00001534389,0.00003918381,0.0000756494,0.000002953539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001955758,"about_ca_system_score_gemma":0.0000990801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002268901,"about_ca_topic_score_gemma":0.0009875448,"domain_scores_codex":[0.9989892,0.000106432,0.0003566519,0.0002580139,0.0001731438,0.0001165251],"domain_scores_gemma":[0.9989579,0.00001027539,0.0001670898,0.0004250739,0.0003527886,0.0000868123],"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":[0.00008234868,0.0005145422,0.001407087,0.000003453969,0.0002072074,9.252759e-7,0.0006211112,0.002219565,0.9944373,0.00004319138,0.00003912982,0.0004241836],"study_design_scores_gemma":[0.0002178249,0.0006551845,0.003144834,0.00000217462,0.0003834766,7.150714e-7,0.002504375,0.03123277,0.9615853,0.00003296492,0.0001278591,0.0001125098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926398,0.00000863431,0.006717054,0.0000410883,0.0002163101,0.0001806283,0.00006759979,0.000008447403,0.000120475],"genre_scores_gemma":[0.9992564,4.606288e-7,0.0003226981,0.00001724526,0.0000740293,0.000004729426,0.0002454073,0.00001672079,0.00006230643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03285194,"threshold_uncertainty_score":0.4600897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03416209116768979,"score_gpt":0.3007909328201399,"score_spread":0.26662884165245,"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."}}