{"id":"W2912077631","doi":"10.1186/s12915-019-0626-8","title":"Transcriptome, proteome and draft genome of Euglena gracilis","year":2019,"lang":"en","type":"article","venue":"BMC Biology","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Medical Research Council; Cambridge Trust; Bundesministerium für Bildung und Forschung; Deutsches Zentrum für Luft- und Raumfahrt; Grantová Agentura České Republiky; European Research Council; University of Cambridge; Cambridge Philosophical Society; University of Dundee","keywords":"Biology; Euglena gracilis; Proteome; Transcriptome; Genome; Computational biology; Genetics; Gene; Gene expression; Chloroplast","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002238782,0.0008026804,0.0006001836,0.001068872,0.000595264,0.0008341495,0.0004733949,0.0004295337,0.002425715],"category_scores_gemma":[0.0004513051,0.0002615527,0.0007948179,0.002036907,0.0001705493,0.0004700685,0.0005847026,0.0007300889,0.001625957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005678472,"about_ca_system_score_gemma":0.0008853725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727991,"about_ca_topic_score_gemma":0.003552707,"domain_scores_codex":[0.9998515,0.0000102381,0.00001656721,0.00005418763,0.00004338848,0.00002409816],"domain_scores_gemma":[0.9997678,0.00004362374,0.00006060498,0.00002857016,0.00005830253,0.00004108438],"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":[0.001157411,0.00005264847,0.004592349,0.001638146,0.00007201453,0.0006197809,0.0003698531,0.001042035,0.9654989,0.0002273804,0.002804775,0.02192465],"study_design_scores_gemma":[0.0002514559,0.0009950739,0.5001951,0.0006385105,0.001189606,0.004480765,0.001016325,0.01065528,0.3225729,0.001823915,0.1559693,0.0002117915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6631159,0.008019823,0.01314258,0.001012006,0.0001610648,0.0002523428,0.3068952,0.002701902,0.004699205],"genre_scores_gemma":[0.2623679,0.004334529,0.03355451,0.0002935351,0.00005141037,0.0002252921,0.6927767,0.0006077119,0.005788385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002727991,"threshold_uncertainty_score":0.008114755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008504550150507035,"score_gpt":0.2140777812263422,"score_spread":0.2055732310758352,"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."}}