{"id":"W1979079481","doi":"10.1002/bies.20585","title":"Rebuilding microbial genomes","year":2007,"lang":"en","type":"article","venue":"BioEssays","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"Michael Smith Health Research BC","keywords":"Genome; Biology; Gene; Synthetic biology; Computational biology; DNA; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005812534,0.0005209697,0.0006479189,0.0006749826,0.000511083,0.001308871,0.001013524,0.0007164737,0.00286784],"category_scores_gemma":[0.00164731,0.0004340595,0.0007274633,0.000426279,0.0005551126,0.001774777,0.001551133,0.001853348,0.001854605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005150369,"about_ca_system_score_gemma":0.0005123961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003646724,"about_ca_topic_score_gemma":0.000627855,"domain_scores_codex":[0.9996487,0.00008057451,0.00002764455,0.00009045414,0.0000914601,0.00006126068],"domain_scores_gemma":[0.9994292,0.0001675591,0.0000632396,0.0001926253,0.00006920439,0.00007808832],"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":[0.0002148523,0.0001157274,0.001306856,0.0008334385,0.000072556,0.0005682126,0.0007481803,0.008689438,0.8237764,0.04603745,0.002661063,0.1149758],"study_design_scores_gemma":[0.00008324772,0.0007960521,0.001766348,0.000253207,0.0001531965,0.00174441,0.0008946184,0.01798774,0.5346729,0.03763737,0.4039133,0.00009768269],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.5612354,0.01535661,0.3907465,0.002975111,0.001606413,0.000574346,0.001598615,0.004197369,0.02170955],"genre_scores_gemma":[0.5131142,0.009604388,0.4630494,0.000824918,0.0001049309,0.0003541527,0.003129453,0.000709612,0.009109031],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00286784,"threshold_uncertainty_score":0.009593904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00841060990888765,"score_gpt":0.2354495944743095,"score_spread":0.2270389845654219,"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."}}