{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000449199,0.0004666681,0.0004021916,0.0003691289,0.0002149726,0.0004691299,0.0006897923,0.000547963,0.002249333],"category_scores_gemma":[0.0004932165,0.0002724101,0.0004729243,0.0002106023,0.0003504899,0.0003985198,0.0005851993,0.0007538832,0.001445643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981628,"about_ca_system_score_gemma":0.0001668603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002309132,"about_ca_topic_score_gemma":0.0003801771,"domain_scores_codex":[0.9994968,0.00005547027,0.00003396214,0.00009662909,0.0002655115,0.00005164774],"domain_scores_gemma":[0.9994516,0.0002342511,0.00009037629,0.0001001349,0.00008753242,0.00003604574],"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":[0.00002064147,0.00002062679,0.00007923982,0.00006324385,0.000004789741,0.00006590177,0.00002656126,0.0002254116,0.9938618,0.0001438656,0.0001474506,0.005340548],"study_design_scores_gemma":[0.000004346268,0.00005992283,0.0002444985,0.000002237745,0.000005153156,0.0001105392,0.000003502811,0.002035069,0.9958357,0.00002347908,0.001667417,0.000008155363],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5604762,0.002680192,0.4246431,0.0004069146,0.0004017001,0.0004622235,0.0012602,0.003065051,0.006604353],"genre_scores_gemma":[0.7648062,0.001393918,0.2234964,0.0002315539,0.00008778786,0.0003938771,0.0009868339,0.0003520937,0.00825134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002249333,"threshold_uncertainty_score":0.007524788,"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."}}