{"id":"W2400243996","doi":"10.1016/j.cels.2016.05.003","title":"Caenorhabditis elegans Gets Metabolic Network Models","year":2016,"lang":"en","type":"letter","venue":"Cell Systems","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Child and Family Research Institute; University of British Columbia","funders":"","keywords":"Caenorhabditis elegans; Biology; Model organism; Computational biology; Computer science; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006651801,0.0005155678,0.0005238143,0.0003229601,0.0006335235,0.0007325571,0.001043708,0.002200599,0.002760587],"category_scores_gemma":[0.002418866,0.000255404,0.0002787989,0.0002053904,0.0007836389,0.001542601,0.0006720828,0.003912634,0.0009010736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243996,"about_ca_system_score_gemma":0.000500494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002709869,"about_ca_topic_score_gemma":0.007037496,"domain_scores_codex":[0.999836,0.00004555042,0.000009361167,0.00002831663,0.00006001987,0.00002061331],"domain_scores_gemma":[0.999258,0.0003485571,0.00007391875,0.00009479622,0.00009236037,0.0001323355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006840155,0.00009636681,0.001415028,0.0003614316,0.00009176051,0.002118972,0.00008393679,0.0199989,0.01369762,0.2490895,0.6426226,0.06973989],"study_design_scores_gemma":[0.0004058571,0.0001363361,0.001324051,0.0001955858,0.0001228756,0.001235419,0.00007358871,0.1223115,0.01010968,0.3896265,0.4743467,0.0001119407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05357564,0.01496367,0.08043819,0.7475101,0.03720705,0.00008412315,0.001947971,0.00135648,0.0629167],"genre_scores_gemma":[0.7391198,0.03019174,0.03408515,0.09841935,0.01421997,0.0003799725,0.001200582,0.000374048,0.08200942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002760587,"threshold_uncertainty_score":0.009235084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098084931420237,"score_gpt":0.193564602109224,"score_spread":0.1825837527950216,"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."}}