{"id":"W2792347898","doi":"10.1128/genomea.00073-18","title":"Complete Genome Sequence of Temperate Stenotrophomonas maltophilia Bacteriophage DLP5","year":2018,"lang":"en","type":"article","venue":"Genome Announcements","topic":"Infections and bacterial resistance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Stenotrophomonas maltophilia; Biology; Stenotrophomonas; Bacteriophage; Whole genome sequencing; Sequence (biology); Temperate climate; Genetics; Genome; Microbiology; Evolutionary biology; Gene; Pseudomonas; Bacteria; Ecology; Pseudomonas aeruginosa; Escherichia coli","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":[0.0002283435,0.001198246,0.0007948785,0.001642479,0.0006736899,0.0006427216,0.0005054366,0.0005633509,0.005331442],"category_scores_gemma":[0.000401349,0.0003344236,0.0007468908,0.002158363,0.0002478314,0.0003623053,0.0004058784,0.0007234263,0.003842071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007644212,"about_ca_system_score_gemma":0.001489636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008163944,"about_ca_topic_score_gemma":0.004747179,"domain_scores_codex":[0.9997697,0.00002031248,0.00002471792,0.00007617127,0.00006882406,0.00004039565],"domain_scores_gemma":[0.9997545,0.00003709976,0.00004881492,0.00001681887,0.000068867,0.00007381082],"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":[0.001607654,0.0001387591,0.003633007,0.002076289,0.00007090251,0.0007460332,0.0004135153,0.0007167042,0.9568269,0.0007986909,0.006458624,0.02651289],"study_design_scores_gemma":[0.0005487803,0.001389717,0.3031337,0.0008512833,0.0009745617,0.003005889,0.001062104,0.005256865,0.2923249,0.001419647,0.3897696,0.000262932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4375159,0.008239895,0.02952105,0.0005050689,0.0002931684,0.000735503,0.5120481,0.001532673,0.009608688],"genre_scores_gemma":[0.1741169,0.002344151,0.01879852,0.0001415508,0.00006109865,0.0002543379,0.7983235,0.0002646785,0.005695243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008163944,"threshold_uncertainty_score":0.01783538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155846219019218,"score_gpt":0.2600096734847255,"score_spread":0.2384512112945333,"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."}}