{"id":"W2888316782","doi":"10.1093/bib/bby072","title":"Machine learning meets genome assembly","year":2018,"lang":"en","type":"review","venue":"Briefings in Bioinformatics","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Vale Canada Limited","keywords":"Computer science; Nondeterministic algorithm; Task (project management); Artificial intelligence; Field (mathematics); Data science; Machine learning; Theoretical computer science; Systems engineering; Mathematics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006123021,0.0005697991,0.001011205,0.0002847952,0.000103506,0.0001047545,0.0006322122,0.0006210117,0.00003645861],"category_scores_gemma":[0.0001935381,0.0005241641,0.0003665932,0.0003333517,0.0001000024,0.00001047456,0.0005117877,0.0004409359,0.000330249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008720356,"about_ca_system_score_gemma":0.0002051146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002750885,"about_ca_topic_score_gemma":0.00001894604,"domain_scores_codex":[0.9975937,0.00008940977,0.001059703,0.000395138,0.0002830295,0.000579024],"domain_scores_gemma":[0.9985638,0.00002546831,0.0006367319,0.0005777379,0.00008027275,0.000116049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001106467,0.00009821665,0.00001496122,0.01905046,0.0004463147,0.00001874861,0.0003211281,0.00002283037,0.0000581133,0.00006136556,0.002998189,0.9768986],"study_design_scores_gemma":[0.0002633686,0.0001620278,0.0000036064,0.001330816,0.0001261938,0.00008303303,0.00001444262,0.0003054433,0.00001385967,0.000005316267,0.9971162,0.0005756878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001838302,0.9938464,0.0004733001,0.00002696811,0.0001644248,0.0006513575,0.00005929678,0.00003749046,0.004722334],"genre_scores_gemma":[0.000005234037,0.9868048,0.009525866,0.000171707,0.000302965,0.00005986753,0.001740837,0.00009744202,0.00129123],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.994118,"threshold_uncertainty_score":0.999721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254352314942638,"score_gpt":0.2845285582188677,"score_spread":0.2590933267246039,"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."}}