{"id":"W4317438718","doi":"10.34133/cbsystems.0011","title":"Microfluidic-Assisted <i>Caenorhabditis elegans</i> Sorting: Current Status and Future Prospects","year":2023,"lang":"en","type":"article","venue":"Cyborg and Bionic Systems","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Key Programme; Xi’an Jiaotong-Liverpool University; Government of Jiangsu Province","keywords":"Sorting; Caenorhabditis elegans; Computer science; Microfluidics; Sorting algorithm; Biology; Computational biology; Data science; Nanotechnology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001398822,0.0006800088,0.0009509818,0.001315645,0.0003930016,0.001502389,0.001189298,0.00138506,0.003558525],"category_scores_gemma":[0.001257824,0.0003545856,0.0008255359,0.001706515,0.0006867092,0.002653437,0.0007348554,0.00102181,0.002141015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007130923,"about_ca_system_score_gemma":0.001833505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001477117,"about_ca_topic_score_gemma":0.001415106,"domain_scores_codex":[0.9996138,0.00005018814,0.00005211177,0.0000796463,0.0001383191,0.00006596082],"domain_scores_gemma":[0.9992561,0.0002919032,0.0001097473,0.00002689615,0.0002452059,0.00007023827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001803972,0.0001017477,0.0005430623,0.02574906,0.00007800764,0.0001878136,0.0001447885,0.001005807,0.02320296,0.0119305,0.04649148,0.8903845],"study_design_scores_gemma":[0.00001879907,0.0002994936,0.0008646611,0.002686819,0.0001852422,0.0005506863,0.0001201211,0.0006894346,0.01501258,0.002464036,0.977029,0.0000791213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009092499,0.9932235,0.001790511,0.0009855016,0.0006578634,0.00001158485,0.00007889856,0.0001205098,0.002222365],"genre_scores_gemma":[0.003555069,0.991634,0.001903126,0.0009275164,0.0004131611,0.00001996498,0.0001546027,0.00001856417,0.001374031],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003558525,"threshold_uncertainty_score":0.01190442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085334744541047,"score_gpt":0.2374900335046037,"score_spread":0.2266366860591932,"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."}}