{"id":"W2028106989","doi":"10.1007/s10544-014-9842-8","title":"Microfluidic direct writer with integrated declogging mechanism for fabricating cell-laden hydrogel constructs","year":2014,"lang":"en","type":"article","venue":"Biomedical Microdevices","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre","funders":"Canadian Institutes of Health Research","keywords":"Microfluidics; Fabrication; Self-healing hydrogels; Materials science; Nanotechnology; Fiber; Capillary action; Biomedical engineering; Layer (electronics); Tissue engineering; Composite material","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":[0.0003359452,0.0004158441,0.0003634329,0.0002922018,0.0002289928,0.0003899123,0.0006024638,0.0004723555,0.002041437],"category_scores_gemma":[0.0003492098,0.0004245639,0.0002513823,0.0002407039,0.0002586147,0.000471782,0.0004879878,0.0005270962,0.0008159038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002592089,"about_ca_system_score_gemma":0.0003717831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001429838,"about_ca_topic_score_gemma":0.0005083304,"domain_scores_codex":[0.9997192,0.00001635705,0.00003412627,0.00009955014,0.00009567055,0.00003507537],"domain_scores_gemma":[0.9997477,0.00007056139,0.00007295707,0.00004734842,0.00003699662,0.00002445784],"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":[0.00002638667,0.00001458541,0.00006368045,0.00005527152,0.000002311381,0.00004065967,0.0000218195,0.00006349864,0.995087,0.0002176641,0.0001509663,0.00425637],"study_design_scores_gemma":[0.00000945235,0.00003081203,0.0001576206,0.000001586162,0.000003727041,0.00006796722,0.000003766633,0.000818224,0.9970207,0.00001767376,0.001862378,0.000006103746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7396524,0.003278007,0.2427883,0.0004613556,0.0008625074,0.0003254032,0.001043372,0.002563249,0.009025451],"genre_scores_gemma":[0.7638438,0.001395072,0.2173113,0.0002525707,0.000148215,0.0003975659,0.0004872474,0.0001746846,0.01598946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002041437,"threshold_uncertainty_score":0.006829262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009030213198485506,"score_gpt":0.2286497148756182,"score_spread":0.2196195016771327,"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."}}