{"id":"W2502189175","doi":"10.3390/mi7070123","title":"Microfluidic Approaches for Manipulating, Imaging, and Screening C. elegans","year":2016,"lang":"en","type":"review","venue":"Micromachines","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; California HIV/AIDS Research Program","keywords":"Microfluidics; Caenorhabditis elegans; Phenotypic screening; Drug discovery; Nanotechnology; Biology; Computer science; Computational biology; Bioinformatics; Phenotype; Materials science","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":[0.0002646685,0.0006429584,0.0008957461,0.0001148986,0.0002110495,0.0001053779,0.0004104134,0.0003429466,0.00001039541],"category_scores_gemma":[0.00005673574,0.0004972475,0.0004245741,0.00005311674,0.0001540771,0.000005129906,0.0002929246,0.0001525925,0.000009312324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001530847,"about_ca_system_score_gemma":0.00007942869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002599531,"about_ca_topic_score_gemma":0.00001242773,"domain_scores_codex":[0.9979288,0.00009921947,0.0005006086,0.0008975025,0.00009485695,0.0004790182],"domain_scores_gemma":[0.9989415,0.00003828273,0.0002970216,0.0005542059,0.00005159754,0.0001173246],"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":[0.000009258477,0.0000356381,0.0002709249,0.004745563,0.0002509557,0.000002863017,0.00006093855,2.735856e-7,0.008255151,0.0000358701,0.010373,0.9759595],"study_design_scores_gemma":[0.0003508501,0.00006545229,0.00002621983,0.001250747,0.0003619794,0.0001717943,0.00001070353,0.00001576543,0.001064376,0.00005226468,0.9959709,0.0006589458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000429838,0.9729982,0.02517204,0.00005043964,0.0002205328,0.0007713,0.0002304341,0.00003466745,0.00009255905],"genre_scores_gemma":[0.0002156139,0.9917398,0.004444403,0.0000950454,0.0009181956,0.0001044538,0.000752261,0.000185393,0.001544833],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9855979,"threshold_uncertainty_score":0.9997479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04707029906348514,"score_gpt":0.2943736188798598,"score_spread":0.2473033198163747,"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."}}