{"id":"W2111515098","doi":"10.1371/journal.pone.0074483","title":"Proteomic Amino-Termini Profiling Reveals Targeting Information for Protein Import into Complex Plastids","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Wenner-Gren Foundation; Deutscher Akademischer Austauschdienst; Centre for Blood Research, University of British Columbia; Bundesministerium für Bildung und Forschung; Michael Smith Health Research BC; Breast Cancer Society of Canada; University of British Columbia; Alexander von Humboldt-Stiftung","keywords":"Plastid; Biology; Eukaryote; Transit Peptide; Endosymbiosis; Biochemistry; Thalassiosira pseudonana; Chloroplast; Cell biology; Sequence motif; Genome; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008154584,0.0002297911,0.0001768809,0.0002365534,0.00013997,0.0003076662,0.00009287179,0.0002221256,0.000748187],"category_scores_gemma":[0.0001757655,0.0001228481,0.0001607725,0.0002141206,0.0001269465,0.0002540169,0.0001433654,0.0002936891,0.0005759666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883327,"about_ca_system_score_gemma":0.0001443274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004332976,"about_ca_topic_score_gemma":0.0007694272,"domain_scores_codex":[0.9999571,0.000002742246,0.000003501144,0.00001938115,0.00001047122,0.000006870182],"domain_scores_gemma":[0.9998794,0.00002487185,0.00003208424,0.00001132086,0.00002265457,0.00002976774],"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":[0.00004700488,0.000002437527,0.0005550853,0.00001543893,0.000001879285,0.00003362698,0.00001186049,0.00001302969,0.9987912,0.00001664506,0.000009888464,0.0005018452],"study_design_scores_gemma":[0.00001398464,0.0001487694,0.1894261,0.00001828129,0.00005152364,0.001644473,0.0001798458,0.002257021,0.8020622,0.0003038086,0.003879399,0.00001467547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938149,0.0007338095,0.003677911,0.00003994669,0.000007262681,0.000008407448,0.0007606251,0.00002707156,0.0009300538],"genre_scores_gemma":[0.9873711,0.0008006691,0.006348812,0.00007237717,0.00001087216,0.00001415577,0.003556221,0.0000362487,0.001789596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000748187,"threshold_uncertainty_score":0.002502918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265620024073515,"score_gpt":0.227647759666158,"score_spread":0.2010857572588065,"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."}}