{"id":"W2773795596","doi":"10.1242/jcs.213306","title":"Identification and characterisation of a cryptic Golgi complex in <i>Naegleria gruberi</i>","year":2018,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Environmental Health Sciences; Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; University of Kent; Royal Society; Gordon and Betty Moore Foundation","keywords":"Biology; Identification (biology); Golgi apparatus; Species complex; Naegleria; Zoology; Evolutionary biology; Computational biology; Ecology; Genetics; Protozoa; Phylogenetic tree; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0006450933,0.00003555817,0.00006796236,0.0000890724,0.00004176987,0.00002686859,0.0001706712,0.00002451575,0.00001068121],"category_scores_gemma":[0.00006979236,0.00002928825,0.00001715943,0.0001828081,0.0003877916,0.00001879867,0.0000473315,0.00004143737,0.000001901538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000109964,"about_ca_system_score_gemma":0.0001173204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005978394,"about_ca_topic_score_gemma":0.000003318549,"domain_scores_codex":[0.9993759,0.00002499558,0.0002124046,0.00009444048,0.0001921376,0.0001001332],"domain_scores_gemma":[0.999437,0.00000629091,0.0001863281,0.00008823218,0.0002337443,0.00004845805],"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":[0.00003202032,0.0000266809,0.002372089,0.000007895543,0.000001030171,7.392448e-7,0.0001098308,0.0000011816,0.9966016,0.00001568698,0.00009673138,0.0007345097],"study_design_scores_gemma":[0.0002320519,0.0002277032,0.1021441,0.00001173511,0.000001845599,0.00001533507,0.00006090492,0.0001898679,0.896132,0.00006047628,0.0008907238,0.00003328938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990866,0.00007150247,0.0002080817,0.0001360218,0.00007566604,0.00003878703,7.20197e-7,3.89496e-7,0.0003822533],"genre_scores_gemma":[0.9993865,0.0001209378,0.0002741303,0.00003560638,0.0000983361,3.928843e-7,7.094075e-7,0.000002120507,0.00008121143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1004696,"threshold_uncertainty_score":0.1428834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168950355543796,"score_gpt":0.2914957949787462,"score_spread":0.2746007594243666,"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."}}