{"id":"W3174896753","doi":"10.3390/cells10071602","title":"Airway-On-A-Chip: Designs and Applications for Lung Repair and Disease","year":2021,"lang":"en","type":"review","venue":"Cells","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Providence Health Care","keywords":"Lung; Extracellular matrix; Interstitial lung disease; Organ-on-a-chip; Lung disease; Disease; Medicine; Neuroscience; Biology; Computer science; Pathology; Nanotechnology; Cell biology; Materials science; Microfluidics; Internal medicine","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":[0.0007453046,0.000859366,0.0008773609,0.00168394,0.0002795585,0.001046538,0.001091433,0.0016958,0.004607392],"category_scores_gemma":[0.0007107892,0.0004916574,0.0007573089,0.001301102,0.0004246192,0.001264456,0.0006952103,0.001780735,0.003327034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004959603,"about_ca_system_score_gemma":0.0005393084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005295799,"about_ca_topic_score_gemma":0.0009299904,"domain_scores_codex":[0.9995949,0.00004725418,0.00003394573,0.00006788086,0.0002189905,0.00003701927],"domain_scores_gemma":[0.9997334,0.0001131743,0.00003429132,0.0000160053,0.00008106942,0.00002205681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004998952,0.0001014929,0.0002021074,0.0116129,0.00006931262,0.0002437653,0.00007372157,0.001222365,0.03911236,0.0111722,0.02110391,0.9150359],"study_design_scores_gemma":[0.00001130268,0.0002411463,0.00053428,0.001239682,0.00007214382,0.001161703,0.00004873253,0.0007648836,0.01481029,0.002570518,0.9785069,0.00003833817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009594331,0.9866135,0.004578151,0.0004249198,0.0007001946,0.00003637906,0.00007720949,0.00006355206,0.006546692],"genre_scores_gemma":[0.006102395,0.982183,0.005145359,0.0003872731,0.0002574591,0.00007007104,0.0001366848,0.00001589566,0.005701954],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004607392,"threshold_uncertainty_score":0.01541322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05372882157307441,"score_gpt":0.347359027425745,"score_spread":0.2936302058526706,"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."}}