{"id":"W2795472352","doi":"10.1039/c7lc01357d","title":"Microfluidic lung airway-on-a-chip with arrayable suspended gels for studying epithelial and smooth muscle cell interactions","year":2018,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Lung Association","keywords":"Microfluidics; Microfluidic chip; Lung; Cell; Chip; Biomedical engineering; Lab-on-a-chip; Airway; Materials science; Nanotechnology; Cell biology; Chemistry; Engineering; Biology; Medicine; Electrical engineering; Internal medicine; Surgery; 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":[0.0002736718,0.0005330139,0.0003948795,0.0002345217,0.0001921586,0.0002495048,0.0006444167,0.000561479,0.0008661938],"category_scores_gemma":[0.0001450733,0.0002715266,0.0003775276,0.0001273586,0.0001846924,0.0002804355,0.0003513008,0.0004369258,0.0003898756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00033547,"about_ca_system_score_gemma":0.0003186885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000551019,"about_ca_topic_score_gemma":0.001235776,"domain_scores_codex":[0.9998068,0.00002637502,0.00001341609,0.00006909836,0.00005500098,0.00002930612],"domain_scores_gemma":[0.9998853,0.00004325105,0.00002258933,0.00001489102,0.00001462332,0.00001927243],"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":[0.00002213293,0.0000306543,0.0001249767,0.00008550245,0.00000863797,0.00003062578,0.00001254554,0.0003919747,0.9958116,0.0001985716,0.0001402058,0.003142629],"study_design_scores_gemma":[0.0000267332,0.0002691258,0.00176337,0.00001471338,0.00004237286,0.0001551177,0.00001137663,0.02197673,0.9703003,0.00009768635,0.005313464,0.00002904669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6270662,0.009718768,0.3501808,0.0006316616,0.0005754578,0.0005354695,0.001861412,0.003614855,0.005815308],"genre_scores_gemma":[0.5692914,0.002294048,0.4230955,0.000371412,0.00008474167,0.001076738,0.0007978049,0.0001029262,0.002885405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008661938,"threshold_uncertainty_score":0.002897739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171125093970427,"score_gpt":0.2774894872839733,"score_spread":0.255778236344269,"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."}}