{"id":"W4362604513","doi":"10.1038/s41598-023-32078-6","title":"CRISPR-resolved virus-host interactions in a municipal landfill include non-specific viruses, hyper-targeted viral populations, and interviral conflicts","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Joint Genome Institute; U.S. Department of Energy","keywords":"CRISPR; Host (biology); Virology; Virus; Biology; Host factors; Computational 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":[0.0005330654,0.0001877467,0.000185281,0.0003061876,0.0001968713,0.0001509647,0.000137312,0.00008809378,0.00003596876],"category_scores_gemma":[0.00009612362,0.0001921788,0.00008048862,0.0004267925,0.0001178029,0.00001811852,0.0002942228,0.0001565358,0.00002409178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002485074,"about_ca_system_score_gemma":0.00002995362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003300098,"about_ca_topic_score_gemma":0.001889094,"domain_scores_codex":[0.99825,0.00003950597,0.000484666,0.0006687741,0.0001967093,0.0003603528],"domain_scores_gemma":[0.9990644,0.00001239972,0.0001028206,0.0006334345,0.00006733411,0.000119642],"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":[0.00002906488,0.00004899959,0.0104159,0.00001516876,0.00001567305,0.00009211112,0.0006632739,0.0006842602,0.9801839,0.000008279702,0.006812403,0.00103094],"study_design_scores_gemma":[0.0005779347,0.00009107255,0.06867668,0.00007547421,0.00001788273,0.0001683271,0.0004725967,0.00314991,0.4505171,0.0002267327,0.4755297,0.0004965167],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948783,0.0006912554,0.000681146,0.00006463478,0.003050565,0.0002538037,0.00001925011,0.00005151443,0.0003095605],"genre_scores_gemma":[0.9977418,0.00007358513,0.0003552271,0.00005379845,0.000127594,0.00004204704,0.0004393308,0.00002835923,0.001138314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5296668,"threshold_uncertainty_score":0.7836825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03381777910113181,"score_gpt":0.3408019588734444,"score_spread":0.3069841797723126,"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."}}