{"id":"W2138108986","doi":"10.1002/bit.24562","title":"Improving piezoelectric cell printing accuracy and reliability through neutral buoyancy of suspensions","year":2012,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microfluidics; Materials science; Nozzle; Reproducibility; Drop (telecommunication); Piezoelectricity; Ficoll; Suspension (topology); Repeatability; Neutral buoyancy; Nanotechnology; Buoyancy; Inkwell; Chromatography; Chemistry; Composite material; Mechanical engineering; Engineering; Mechanics","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":[0.002256778,0.0005164389,0.0004202522,0.0004927621,0.0003194794,0.001331416,0.0007800444,0.0007164116,0.0008120644],"category_scores_gemma":[0.006459082,0.0003521429,0.0002232432,0.0003817915,0.0005442441,0.0008117077,0.0007992302,0.0007816997,0.0006588525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003148501,"about_ca_system_score_gemma":0.0003958266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005128979,"about_ca_topic_score_gemma":0.0007148025,"domain_scores_codex":[0.9978473,0.0003404469,0.0002884144,0.0003068607,0.001101123,0.0001158059],"domain_scores_gemma":[0.995267,0.002418692,0.000561556,0.0006124502,0.001047395,0.00009290444],"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":[0.00003665047,0.00001193039,0.0004976125,0.00004811534,0.000004403153,0.00005420423,0.00008268406,0.0003991935,0.9898366,0.0001694814,0.00005795942,0.008801182],"study_design_scores_gemma":[0.000005818406,0.00007712177,0.001088716,0.00000554868,0.00001478325,0.0001569684,0.00002339245,0.003913438,0.9934122,0.0000739341,0.001216455,0.00001158186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7977073,0.002635972,0.1936167,0.0005501636,0.0002581846,0.0001527527,0.0001681553,0.001161919,0.003748863],"genre_scores_gemma":[0.8935461,0.001239683,0.1021319,0.0001129516,0.00004632729,0.00009050372,0.00020048,0.0001791058,0.002452894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002256778,"threshold_uncertainty_score":0.01193511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026729701220122,"score_gpt":0.2350201126086493,"score_spread":0.2247528155964481,"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."}}