{"id":"W2274047110","doi":"10.1063/1.4941984","title":"A microfluidic device for automated, high-speed microinjection of <i>Caenorhabditis elegans</i>","year":2016,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; China Scholarship Council; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Microinjection; Caenorhabditis elegans; Microfluidics; Sorting; Throughput; Biology; Model organism; Computer science; Cell biology; Nanotechnology; Materials science; Gene; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002898227,0.0003134303,0.0003290374,0.0001160603,0.0001263876,0.00002794536,0.0003773478,0.0003494208,0.0000175953],"category_scores_gemma":[0.00009542902,0.0002680576,0.0002122254,0.0001398384,0.000225029,0.00000969118,0.0001261678,0.00005151229,0.00003147015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000508441,"about_ca_system_score_gemma":0.0002111468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000132238,"about_ca_topic_score_gemma":0.00001158662,"domain_scores_codex":[0.9982186,0.00006594939,0.0005126775,0.0005823448,0.0001471282,0.0004732785],"domain_scores_gemma":[0.9986998,0.00003919372,0.0002277575,0.0005962534,0.0003135561,0.0001233721],"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":[0.0001236684,0.00009245845,0.0006543385,0.00006770629,0.0000903361,0.000001055128,0.00005691171,6.27557e-7,0.8587071,0.00005081552,0.1385842,0.001570783],"study_design_scores_gemma":[0.001579029,0.0004131426,0.0005325224,0.00003859991,0.00006647111,0.00003378588,0.00002385996,0.000009286436,0.815932,0.00008040669,0.180978,0.0003127876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538698,0.01090096,0.0325824,0.0004636708,0.0009688215,0.0005441169,0.0005110743,0.0001185324,0.00004065464],"genre_scores_gemma":[0.9830552,0.01110182,0.003485533,0.0005018837,0.0006239216,0.00002480194,0.0002397395,0.0001049571,0.000862103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04277503,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00995005518694222,"score_gpt":0.2379446336315603,"score_spread":0.227994578444618,"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."}}