{"id":"W2015468210","doi":"10.4137/ebo.s5861","title":"EvoPipes.net: Bioinformatic Tools for Ecological and Evolutionary Genomics","year":2010,"lang":"en","type":"article","venue":"Evolutionary Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Genomics; Identification (biology); Computer science; Data science; Pipeline (software); DNA sequencing; Computational biology; Software; Gene prediction; Biology; Genome; Gene; Genetics; Ecology","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":[0.0002374708,0.0002565326,0.0002229277,0.0000759427,0.000382307,0.00006585975,0.0002431563,0.0002761609,0.00002339409],"category_scores_gemma":[0.0003004767,0.0002347225,0.0001286595,0.00007741679,0.0002795569,0.00001617028,0.000272193,0.0001578319,0.00002806544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002951262,"about_ca_system_score_gemma":0.0001698775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002833359,"about_ca_topic_score_gemma":0.00001398747,"domain_scores_codex":[0.9987039,0.00001477789,0.0005131172,0.000227111,0.0001356612,0.0004054196],"domain_scores_gemma":[0.999061,0.0001009872,0.0001705217,0.0003580858,0.0001619019,0.0001474379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001180139,0.001256839,0.04181079,0.001543184,0.001525034,0.000007307421,0.003025227,0.003115332,0.563194,0.0415687,0.2237913,0.1179822],"study_design_scores_gemma":[0.002382676,0.00126729,0.1917816,0.00001896607,0.0001077963,0.0003384738,0.001034296,0.04710101,0.002589731,0.005690087,0.7465104,0.001177639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890825,0.001083211,0.004105112,0.0004344504,0.0007335307,0.0008836883,0.0004280434,0.00002330127,0.003226179],"genre_scores_gemma":[0.8250652,0.0006899536,0.1719715,0.0006763492,0.0005360509,0.0001528006,0.0005319663,0.00002882751,0.0003473288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5606043,"threshold_uncertainty_score":0.9571704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143808747846476,"score_gpt":0.225148617095894,"score_spread":0.2137105296174292,"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."}}