{"id":"W2156138687","doi":"10.1093/molbev/msq038","title":"Characterization of Periplastidal Compartment–Targeting Signals in Chlorarachniophytes","year":2010,"lang":"en","type":"article","venue":"Molecular Biology and Evolution","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Institute for Advanced Research","funders":"Japan Society for the Promotion of Science; Hokkaido University; Michael Smith Health Research BC; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Plastid; Biology; Signal peptide; Protein targeting; Transit Peptide; Cytoplasm; Genome; Cell biology; Protein Sorting Signals; Endosymbiosis; Peptide sequence; Biochemistry; Gene; Membrane protein; Chloroplast; Membrane","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001147322,0.0003209907,0.0003051132,0.0004853008,0.0002677464,0.0004641009,0.0001598034,0.0002152306,0.0003290802],"category_scores_gemma":[0.000176715,0.0001520232,0.0003402947,0.0004504804,0.0002591983,0.0002187335,0.0003021441,0.0003617861,0.0002795108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000325082,"about_ca_system_score_gemma":0.0003817227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003924851,"about_ca_topic_score_gemma":0.003235757,"domain_scores_codex":[0.9999064,0.00000746971,0.000009839025,0.0000215302,0.00003301337,0.00002167185],"domain_scores_gemma":[0.9997147,0.00003401454,0.00007777494,0.00001674749,0.00004072367,0.0001159394],"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":[0.00003716951,0.000007383447,0.001305489,0.00002158833,0.000002491377,0.00007842429,0.00007350725,0.00002671437,0.9980002,0.00002237653,0.000003724258,0.0004210148],"study_design_scores_gemma":[0.00002307272,0.0003522105,0.39462,0.00002694689,0.00006592077,0.002352556,0.001091146,0.0008839123,0.5955452,0.0001695509,0.004819081,0.00005040395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998214,0.0002047003,0.0006876435,0.00001507371,0.000001773918,0.000007937379,0.0004323379,0.00001030104,0.0004262237],"genre_scores_gemma":[0.9943969,0.0004532369,0.001594948,0.00003860288,0.000005898748,0.00002145294,0.002016784,0.00002393148,0.001448172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003924851,"threshold_uncertainty_score":0.007803977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004264369635341226,"score_gpt":0.2264856351124722,"score_spread":0.222221265477131,"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."}}