{"id":"W1979330256","doi":"10.1007/s00299-010-0925-6","title":"Tail-anchored membrane proteins: exploring the complex diversity of tail-anchored-protein targeting in plant cells","year":2010,"lang":"en","type":"review","venue":"Plant Cell Reports","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Biology; FERM domain; Biogenesis; Cell biology; Membrane protein; Protein targeting; Organelle; Integral membrane protein; Context (archaeology); Cytosol; Protein domain; Organelle biogenesis; Membrane; Transport protein; Biochemistry; Protein subcellular localization prediction; Protein Sorting Signals; Peptide sequence; Gene; Signal peptide","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":[0.0008774498,0.0004615277,0.001222721,0.00004947401,0.0004563042,0.00005842617,0.00066436,0.0002792332,0.0002068941],"category_scores_gemma":[0.00006427672,0.0001694138,0.0003590733,0.000525035,0.0001073261,0.0001373789,0.0005517178,0.0007674698,0.00002442598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004893462,"about_ca_system_score_gemma":0.00005321547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001137238,"about_ca_topic_score_gemma":0.000598415,"domain_scores_codex":[0.9969096,0.0001771569,0.001175167,0.0007430854,0.000484897,0.0005100663],"domain_scores_gemma":[0.9978521,0.0002878756,0.001330825,0.0003280135,0.00006323986,0.000137968],"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":[0.00005560962,0.001131813,0.0004733418,0.007861891,0.0001773066,0.001279236,0.0006470054,0.00001248594,0.406075,0.000146977,0.009512861,0.5726265],"study_design_scores_gemma":[0.00005074218,0.00004481506,0.0001965656,0.001500082,0.0001158073,0.00006094814,0.00008725348,0.00000492702,0.009891856,0.00007023246,0.9875597,0.0004170838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2195891,0.7672247,0.000002300379,0.000122383,0.0006041551,0.006802351,0.002990933,0.0001500994,0.002513932],"genre_scores_gemma":[0.04912063,0.9453251,0.000168914,0.0000257473,0.0005326797,0.0007769051,0.003806449,0.000008729347,0.0002348814],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9780468,"threshold_uncertainty_score":0.6908493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08218027749376822,"score_gpt":0.2398229988672967,"score_spread":0.1576427213735285,"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."}}