{"id":"W4303647440","doi":"10.1038/s41396-022-01327-3","title":"Mortality by ribosomal sequencing (MoRS) provides a window into taxon-specific cell lysis","year":2022,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Government of Canada; Ministry of Technology, Innovation and Citizens' Services; Tula Foundation; Gordon and Betty Moore Foundation","keywords":"Biology; Ribosomal RNA; Taxon; Pyrosequencing; Prochlorococcus; Lysis; Ecology; Botany; Synechococcus; Zoology; Cyanobacteria; Bacteria; Genetics; Gene; Molecular biology","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005063586,0.0001285334,0.0001279604,0.00002609061,0.001403077,0.0001564096,0.0004720559,0.00002400358,0.01537243],"category_scores_gemma":[0.000006341052,0.00009442343,0.0001418761,0.0001920828,0.0001212842,0.0003267826,0.0003630558,0.0006621131,0.0001916695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007424451,"about_ca_system_score_gemma":0.00003419199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158646,"about_ca_topic_score_gemma":0.0001211804,"domain_scores_codex":[0.998741,0.000201872,0.0002739648,0.0001892957,0.000316064,0.0002778229],"domain_scores_gemma":[0.9994055,0.00003503977,0.0002145171,0.0002364728,0.000007907654,0.0001005685],"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":[0.00001435524,0.00007417778,0.001556403,0.000001995411,0.0000217791,0.00002155019,0.001480083,0.00125669,0.9623732,0.000005430097,0.03111241,0.00208191],"study_design_scores_gemma":[0.0009101038,0.0003460161,0.05914038,0.00002057099,0.0001531599,0.00187651,0.007665204,0.0005829262,0.1049035,0.0009538637,0.8227594,0.0006882969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947762,0.0001386197,0.0004040382,0.001425535,0.0004120864,0.0001332008,0.00002620131,0.00001990577,0.002664189],"genre_scores_gemma":[0.9965131,0.00005761815,0.0003739081,0.0005128636,0.0001542386,0.00001744578,0.000004473543,0.00001525481,0.002351083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8574697,"threshold_uncertainty_score":0.9998969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357100292032044,"score_gpt":0.2228429661922093,"score_spread":0.2092719632718889,"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."}}