{"id":"W2950280012","doi":"10.1016/j.cell.2019.05.039","title":"Next-Gen Learning: The C. elegans Approach","year":2019,"lang":"en","type":"letter","venue":"Cell","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Caenorhabditis elegans; Genetics; Computational biology; Evolutionary biology; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001906659,0.0003868041,0.0002732918,0.00003784023,0.0001446314,0.000121415,0.0008440067,0.001030073,0.00007217658],"category_scores_gemma":[0.0000260001,0.0002998041,0.0002348687,0.0000539119,0.0001274745,0.000002056354,0.0002444375,0.001398732,0.0003581586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000164748,"about_ca_system_score_gemma":0.0001222905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002672253,"about_ca_topic_score_gemma":0.000002236174,"domain_scores_codex":[0.99817,0.0001750931,0.0002250794,0.0006701061,0.0002581192,0.0005015833],"domain_scores_gemma":[0.9986786,0.00002354413,0.0001684756,0.001013814,0.00007433446,0.00004129085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000442317,0.00002539431,0.00008985015,0.0001307834,0.00005370941,0.000007236612,0.000242524,0.0004582453,0.04614862,0.0000013457,0.95274,0.00009792561],"study_design_scores_gemma":[0.0001956399,0.0001233908,0.00002778104,0.000005007058,0.00007806169,0.00001614134,0.00007548722,0.0001488235,0.02864561,0.00001796997,0.9702631,0.0004029487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.125838,0.02799713,0.03435257,0.4670945,0.008058342,0.004920097,0.0001963391,0.0003455928,0.3311975],"genre_scores_gemma":[0.119533,0.001135687,0.001033182,0.5479928,0.01285282,0.00005904077,0.0037126,0.0003255727,0.3133554],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08089833,"threshold_uncertainty_score":0.9999454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410717381773101,"score_gpt":0.2034554142114455,"score_spread":0.1893482403937145,"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."}}