{"id":"W2075547024","doi":"10.1038/nmeth.3357","title":"Massively parallel delivery of large cargo into mammalian cells with light pulses","year":2015,"lang":"en","type":"article","venue":"Nature Methods","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":174,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Science Foundation; National Institutes of Health; University of Victoria","keywords":"Intracellular; Cell biology; Cell type; Cell; Nanotechnology; Cytosol; Viability assay; Massively parallel; Biophysics; Chemistry; Biology; Materials science; Computer science; Enzyme; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003424243,0.0003949578,0.0002955869,0.000177358,0.0002923961,0.0006426671,0.0004407218,0.0003947761,0.001408983],"category_scores_gemma":[0.000246617,0.0003131274,0.0003128597,0.0002393872,0.0004097855,0.0005386516,0.001017779,0.001028262,0.0006627679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007597159,"about_ca_system_score_gemma":0.00042168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004992827,"about_ca_topic_score_gemma":0.001147249,"domain_scores_codex":[0.999798,0.00001144761,0.00001103143,0.00005521039,0.00008795645,0.00003626311],"domain_scores_gemma":[0.9998518,0.00003772053,0.00003050463,0.00003649248,0.00001571532,0.00002770262],"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":[0.000104977,0.00001961084,0.00009777443,0.00003160997,0.000005653471,0.0000233734,0.0000330027,0.000260379,0.9952048,0.0007524366,0.000188602,0.003277711],"study_design_scores_gemma":[0.00002133724,0.00005694068,0.0003188731,0.000002293519,0.000004201693,0.00003424411,0.000009098249,0.001626497,0.9958839,0.0002255848,0.001812118,0.000004915538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.853644,0.000879058,0.1326883,0.0006110156,0.0002173095,0.0003609443,0.00064076,0.001888896,0.009069888],"genre_scores_gemma":[0.9215021,0.0007390772,0.0656129,0.0002378726,0.000050103,0.0003861452,0.0004226142,0.0003446573,0.01070446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001408983,"threshold_uncertainty_score":0.005512178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147914984208345,"score_gpt":0.3503434577081071,"score_spread":0.3355519592872726,"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."}}