{"id":"W2030289508","doi":"10.1016/s0003-2697(03)00078-2","title":"In situ electroporation of large numbers of cells using minimal volumes of material","year":2003,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Cancer Research Society","keywords":"Electroporation; Materials science; Cuvette; Electric field; Substrate (aquarium); Monolayer; Membrane; Electrode; Optoelectronics; Nanotechnology; Chemistry; Optics","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":[0.0008976125,0.001140387,0.001107729,0.0004473101,0.0004657793,0.0006503004,0.0009135921,0.0007189881,0.003446325],"category_scores_gemma":[0.0003584541,0.0004979579,0.0007290342,0.000460248,0.0006881873,0.0006167173,0.0008435513,0.002429805,0.001383402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004012662,"about_ca_system_score_gemma":0.0003869584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003634738,"about_ca_topic_score_gemma":0.0009605103,"domain_scores_codex":[0.9994329,0.0001030977,0.00006231522,0.0001781105,0.0001141738,0.0001094063],"domain_scores_gemma":[0.9995223,0.0002330852,0.00006516201,0.00009625612,0.00002934344,0.00005389719],"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":[0.0000474236,0.00001746976,0.0000225795,0.00004879539,0.000005967517,0.00001654856,0.00002249801,0.00002255133,0.998781,0.0002267551,0.00004581132,0.0007426681],"study_design_scores_gemma":[0.0000111419,0.00006146507,0.000240211,0.000005198671,0.00001574898,0.0000589387,0.000007646837,0.0002316809,0.9968779,0.0001137485,0.002373503,0.000002798555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.40028,0.001519426,0.5817326,0.0006866965,0.0005432164,0.001030043,0.002269272,0.002208947,0.009729763],"genre_scores_gemma":[0.6312371,0.00212128,0.3289102,0.0005832931,0.0001543846,0.001519944,0.007820577,0.001215068,0.02643808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003446325,"threshold_uncertainty_score":0.01152903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064770246609901,"score_gpt":0.305206985172,"score_spread":0.2945592827059009,"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."}}