{"id":"W3120691045","doi":"10.1093/intbio/zyaa025","title":"Novel <i>in vitro</i> microfluidic platform for osteocyte mechanotransduction studies","year":2020,"lang":"en","type":"article","venue":"Integrative Biology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mechanotransduction; Osteocyte; Osteoclast; Shear stress; Microfluidics; Chemistry; RANKL; Biophysics; In vitro; Shear force; Biomedical engineering; Cell biology; Nanotechnology; Materials science; Osteoblast; Biology; Biochemistry; Medicine; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002529265,0.0005264927,0.0002641585,0.0002060168,0.0002268344,0.000327643,0.000416452,0.0003240615,0.0009363318],"category_scores_gemma":[0.0001400302,0.000199484,0.0002583294,0.0001403402,0.0001866846,0.0002495702,0.0002615766,0.0004076147,0.0004016872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003392767,"about_ca_system_score_gemma":0.0003821662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003750751,"about_ca_topic_score_gemma":0.0007391791,"domain_scores_codex":[0.9997892,0.00001951277,0.00001965975,0.00005606372,0.00007409606,0.00004152054],"domain_scores_gemma":[0.9998772,0.00001940555,0.00005207382,0.00001130854,0.00002187714,0.00001800624],"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":[0.0000125741,0.00001692943,0.00006267723,0.00004916989,0.000002463108,0.00002707359,0.000008881303,0.0001094845,0.9984648,0.0001921612,0.0001040172,0.0009497357],"study_design_scores_gemma":[0.000007546066,0.00007090108,0.0006343854,0.000004432179,0.000007685446,0.00006860057,0.000006114914,0.001142274,0.9935939,0.00004509249,0.004412762,0.000006295901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7526683,0.004565215,0.225863,0.0006742895,0.0005373954,0.0007807488,0.003954287,0.001764821,0.00919206],"genre_scores_gemma":[0.7758884,0.003301542,0.2103671,0.0003127429,0.000115029,0.001762815,0.00246727,0.0001046173,0.005680438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009363318,"threshold_uncertainty_score":0.003132343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08151967033976494,"score_gpt":0.3381921288083924,"score_spread":0.2566724584686275,"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."}}