{"id":"W2025389996","doi":"10.1039/b909961a","title":"Microinjection in a microfluidic format using flexible and compliant channels and electroosmotic dosage control","year":2009,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Microinjection; Buffer (optical fiber); Electrokinetic phenomena; Fluidics; Rhodamine B; Ultrapure water; Flow control (data); Reagent; Chemistry; Materials science; Biomedical engineering; Computer science; Nanotechnology; Electrical engineering; Engineering","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":[0.0001067509,0.0001663593,0.0002116942,0.0001966271,0.00006369218,0.00005230881,0.00005475048,0.0001149299,0.000002087627],"category_scores_gemma":[0.00001055295,0.0001536213,0.0000211333,0.0001736975,0.00004194291,0.00007617252,0.00001387673,0.0001912876,0.000004216342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006418315,"about_ca_system_score_gemma":0.000006342597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002793719,"about_ca_topic_score_gemma":0.000003246118,"domain_scores_codex":[0.9992933,0.00001572408,0.0001673653,0.0001707362,0.00005154634,0.0003013119],"domain_scores_gemma":[0.9997871,0.00002036144,0.00002214685,0.0001258278,0.000008609263,0.00003596743],"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":[0.00003774511,0.00002141096,0.0002971498,0.00004108991,0.000009036893,0.00001209203,0.0001198989,0.00004377373,0.9919687,0.0002678362,0.0008260473,0.006355247],"study_design_scores_gemma":[0.003156279,0.0005620426,0.01091263,0.0004513499,0.000037813,0.0005588927,0.0001472049,0.04045054,0.937382,0.003373259,0.002333527,0.0006344753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871202,0.008417846,0.003343773,0.0002844791,0.00008351057,0.0002020628,0.000005095616,0.0003894797,0.0001535504],"genre_scores_gemma":[0.9980034,0.001297944,0.0003786497,0.0002586578,0.00002676959,0.000001450202,0.000002475148,0.00001429005,0.00001633558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05458668,"threshold_uncertainty_score":0.6264494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328218717602788,"score_gpt":0.2155104230730749,"score_spread":0.2022282358970471,"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."}}