{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002453201,0.0004512947,0.0002795215,0.0003967911,0.0003016306,0.0002649462,0.0006059264,0.0004634378,0.0006002961],"category_scores_gemma":[0.0003184355,0.0002537145,0.0002827324,0.0001854332,0.0002546784,0.0002942524,0.0003676241,0.0003556646,0.0002769721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003159778,"about_ca_system_score_gemma":0.0004738848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005031792,"about_ca_topic_score_gemma":0.0007543971,"domain_scores_codex":[0.9997527,0.00001797127,0.00002874447,0.000080052,0.00008282273,0.00003766618],"domain_scores_gemma":[0.9998143,0.00004478286,0.00006697957,0.00002479913,0.0000289331,0.00002014789],"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":[0.00004335613,0.00003765139,0.0003577007,0.0001626798,0.00001227662,0.00008263279,0.00002285714,0.0003670507,0.9765574,0.00065493,0.001406956,0.02029457],"study_design_scores_gemma":[0.00004315756,0.0003422109,0.004537451,0.00002547606,0.0000298726,0.0004931758,0.000008409175,0.007729922,0.9662234,0.0001259982,0.02038175,0.00005917589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5113716,0.008066661,0.4496153,0.001054645,0.001253152,0.001421869,0.005099023,0.01316281,0.008955083],"genre_scores_gemma":[0.6658837,0.001796426,0.3260366,0.0004386813,0.0001602309,0.001168098,0.00126757,0.0001058615,0.003142767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006059264,"threshold_uncertainty_score":0.002292573,"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."}}