{"id":"W2024474976","doi":"10.1111/tpj.12734","title":"Plastid proteome prediction for diatoms and other algae with secondary plastids of the red lineage","year":2014,"lang":"en","type":"article","venue":"The Plant Journal","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":180,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Konstanz; Dalhousie University; Deutsche Forschungsgemeinschaft; University of East Anglia; Gordon and Betty Moore Foundation; Deutscher Akademischer Austauschdienst; National Science Foundation","keywords":"Plastid; Lineage (genetic); Proteome; Algae; Red algae; Biology; Botany; Evolutionary biology; Chloroplast; Bioinformatics; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002408922,0.0006143817,0.000362029,0.0008414645,0.0003621441,0.0004870061,0.0002363097,0.0004265147,0.0007933294],"category_scores_gemma":[0.0005100124,0.0002612506,0.0006648803,0.0007857165,0.0001006053,0.0003978409,0.0003560854,0.0003302169,0.0006162176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003614853,"about_ca_system_score_gemma":0.0004796917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272013,"about_ca_topic_score_gemma":0.002484919,"domain_scores_codex":[0.9998847,0.00001421489,0.000008318813,0.00005469612,0.00002413802,0.00001383787],"domain_scores_gemma":[0.9998615,0.00004150953,0.0000360444,0.00001387361,0.00002571481,0.00002138244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009617526,0.0001357265,0.04016693,0.0005628738,0.0001668426,0.0008964229,0.0002426408,0.00926104,0.9066997,0.0005924553,0.003211641,0.0371019],"study_design_scores_gemma":[0.0001569439,0.0005056029,0.24881,0.0001358283,0.0004595421,0.003615716,0.0006586844,0.2683811,0.4335204,0.002433335,0.04123094,0.00009189711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757463,0.0008066997,0.01455858,0.00008232591,0.00001247626,0.00002466663,0.007089696,0.0008187168,0.0008605622],"genre_scores_gemma":[0.9029511,0.0006311118,0.05619156,0.00005333851,0.000007066323,0.00006592775,0.03869351,0.0002155277,0.001190891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001272013,"threshold_uncertainty_score":0.002653956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007408762717233775,"score_gpt":0.1824367797431368,"score_spread":0.175028017025903,"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."}}