{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001071988,0.00009532242,0.0001538556,0.00003503935,0.00002639826,0.000003358947,0.0001458063,0.0001822385,0.0000738095],"category_scores_gemma":[0.00001647496,0.00008779031,0.00005905655,0.00004429032,0.0001365977,0.000002102086,0.00008295634,0.00005347481,0.00002515323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003146016,"about_ca_system_score_gemma":0.00003452042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002486775,"about_ca_topic_score_gemma":0.00001835662,"domain_scores_codex":[0.99937,0.00005871563,0.0001200924,0.0002560276,0.00003222277,0.0001629621],"domain_scores_gemma":[0.9996514,0.000008019948,0.00005036922,0.0002097277,0.00003624357,0.00004424042],"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":[0.00009623301,0.00002167382,0.142633,0.00004821885,0.00002607384,2.886545e-7,0.00004207371,0.000001719459,0.8564373,0.0005094603,0.00002855745,0.0001553915],"study_design_scores_gemma":[0.002243432,0.002110122,0.4344627,0.00001409409,0.00004137558,0.00003762383,0.0001120897,0.00001370968,0.4727785,0.001260947,0.08642316,0.0005023182],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964959,0.001131222,0.0006597853,0.00003806673,0.00008761483,0.0003124888,0.00010804,0.000006113732,0.001160749],"genre_scores_gemma":[0.9982435,0.0001057961,0.0007987901,0.0001040201,0.00004724948,0.000009089932,0.0001086148,0.000006218579,0.0005767955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3836589,"threshold_uncertainty_score":0.3579985,"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."}}