{"id":"W4306942405","doi":"10.1183/13993003.00417-2022","title":"3D (bio)printing of lungs: past, present, and future","year":2022,"lang":"en","type":"article","venue":"European Respiratory Journal","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Waterloo; McMaster University","funders":"","keywords":"Medicine; Human lung; 3D printing; Lung; 3D bioprinting; Nanotechnology; Biomedical engineering; Mechanical engineering; Tissue engineering; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00163726,0.0006183818,0.0004653904,0.001314766,0.0005908391,0.004014518,0.000781693,0.002246517,0.03591112],"category_scores_gemma":[0.001329805,0.0003705597,0.0005457349,0.001303032,0.001357553,0.003907909,0.001797298,0.002302093,0.01755434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000788554,"about_ca_system_score_gemma":0.0006060896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007310748,"about_ca_topic_score_gemma":0.001344051,"domain_scores_codex":[0.9994174,0.00006791828,0.00002792799,0.00007614194,0.0003495875,0.00006104481],"domain_scores_gemma":[0.9992417,0.0002629281,0.00004559294,0.00009205971,0.0002231774,0.0001345248],"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":[0.0002840318,0.0000676523,0.0003609845,0.002017483,0.00002030899,0.0002247834,0.0001081788,0.0008428833,0.04618451,0.03110958,0.2536299,0.6651497],"study_design_scores_gemma":[0.00001529702,0.00005907271,0.00051128,0.0003825505,0.00001279834,0.001178869,0.00006541036,0.00110184,0.0307773,0.0096279,0.9562205,0.00004707783],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01169591,0.6020254,0.08897382,0.06081218,0.01954188,0.00009568503,0.00314676,0.01314372,0.2005647],"genre_scores_gemma":[0.1070137,0.5758426,0.1167246,0.0220352,0.007237452,0.0002343472,0.003494735,0.004464896,0.1629525],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03591112,"threshold_uncertainty_score":0.1201347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190860838062998,"score_gpt":0.2506628687727327,"score_spread":0.2315767849664329,"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."}}