{"id":"W2195461057","doi":"10.1186/s13104-015-1682-y","title":"LASER: Large genome ASsembly EvaluatoR","year":2015,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Genome; Computational biology; Computer science; Data science; Biology; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002070009,0.0001248271,0.0001338652,0.00006912438,0.0001588191,0.00004915242,0.0003136419,0.0001048765,0.00001832418],"category_scores_gemma":[0.001225219,0.0001110012,0.00007074633,0.0001430242,0.0001015371,9.123018e-7,0.0004832451,0.0001226418,0.000178408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002702126,"about_ca_system_score_gemma":0.0003612255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004913245,"about_ca_topic_score_gemma":0.0002011781,"domain_scores_codex":[0.9982089,0.0002712115,0.0001520452,0.0003736805,0.0004381403,0.0005559787],"domain_scores_gemma":[0.9986897,0.00008605429,0.00002914924,0.0004665703,0.0004973317,0.0002312333],"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":[0.0001554105,0.0001870127,0.04587207,0.00002813096,0.0001038907,0.000006907089,0.0002232504,0.0001435168,0.941793,0.0002979341,0.009505269,0.001683664],"study_design_scores_gemma":[0.002885285,0.001701304,0.08445687,0.00001387304,0.00002494701,0.00001664891,0.0009290638,0.0006336988,0.3387211,0.001553675,0.5684257,0.0006378538],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991578,0.004071998,0.000559464,0.00016561,0.0001233849,0.0002566817,0.00004771625,0.000005404291,0.003191701],"genre_scores_gemma":[0.9961323,0.0002367758,0.0017517,0.000081897,0.0005941465,0.00005868598,0.00004384523,0.00002606113,0.001074565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6030719,"threshold_uncertainty_score":0.4526498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1804935317699322,"score_gpt":0.4153151667692032,"score_spread":0.2348216349992711,"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."}}