{"id":"W3035755809","doi":"10.1038/s41598-020-66565-x","title":"Drop-on-demand cell bioprinting via Laser Induced Side Transfer (LIST)","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; Université de Montréal; Concordia University; Hôpital Maisonneuve-Rosemont","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal","keywords":"Laser; Drop (telecommunication); Materials science; Inkwell; On demand; Biomedical engineering; Computer science; Optoelectronics; Nanotechnology; Optics; Telecommunications; Composite material; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001339636,0.0002014898,0.0002210319,0.0001683534,0.0001928335,0.0002870352,0.0002794968,0.0001323676,0.0004512771],"category_scores_gemma":[0.0003726742,0.0001874624,0.0001128007,0.0008697605,0.0001642314,0.0001160188,0.00009784909,0.0004856982,0.0004371667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005489491,"about_ca_system_score_gemma":0.00006600068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001135883,"about_ca_topic_score_gemma":0.000002830663,"domain_scores_codex":[0.9971147,0.00004107917,0.000541402,0.0007355585,0.0009816904,0.0005855854],"domain_scores_gemma":[0.9986865,0.0000858249,0.0000370951,0.0006297422,0.00008880936,0.000472036],"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":[0.000004426656,0.00003163606,0.0006707567,0.0001625982,0.0000164582,0.000572586,0.0004383916,0.0008652144,0.9862094,0.00001007213,0.005985423,0.005033031],"study_design_scores_gemma":[0.0001584681,0.00003556419,0.0003351434,0.00004545023,0.000008877399,0.00002733317,0.00003424031,0.01891686,0.9386287,0.000452216,0.04108453,0.0002726283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974565,0.00003855104,0.004667794,0.0004120003,0.003252954,0.0002765657,0.000001824363,0.0004055545,0.01637978],"genre_scores_gemma":[0.9987097,0.000002939523,0.0003028436,0.00009198907,0.0001850856,0.00001531433,0.00001518287,0.0000493307,0.000627643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04758072,"threshold_uncertainty_score":0.7644494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458706333234527,"score_gpt":0.2469851879946126,"score_spread":0.2223981246622674,"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."}}