{"id":"W3080444080","doi":"10.1101/2020.08.24.253096","title":"Ecology of inorganic sulfur auxiliary metabolism in widespread bacteriophages","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Genome British Columbia; University of British Columbia","funders":"Division of Graduate Education; Joint Genome Institute; University of Wisconsin-Madison; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Biogeochemical cycle; Sulfur metabolism; Sulfur; Thiosulfate; Biology; Ecology; Sulfur cycle; Biogeochemistry; Microbial ecology; Microbial metabolism; Metabolism; Bacteria; Chemistry; Biochemistry; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003047179,0.0005196453,0.0008300582,0.0001795816,0.00007373101,0.00007900978,0.0008036253,0.0005179174,0.002098471],"category_scores_gemma":[0.0001907929,0.0005778675,0.0001987414,0.0005808646,0.0002612957,0.0002955783,0.001564963,0.000975286,0.0004983561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003822735,"about_ca_system_score_gemma":0.0001917845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009222124,"about_ca_topic_score_gemma":0.0001469637,"domain_scores_codex":[0.99725,0.0001988696,0.0007899661,0.001009516,0.0002130702,0.0005385628],"domain_scores_gemma":[0.9982023,0.00008445458,0.0005185958,0.0009044043,0.00005396665,0.0002362404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003234062,0.0001771201,0.01160428,0.0001136571,0.00006022128,0.00006151877,0.00003293142,0.00004470574,0.9874333,0.00004090034,0.0003950245,0.000004030753],"study_design_scores_gemma":[0.0002408065,0.00002641681,0.6095159,0.00008598591,0.00005817113,3.570276e-8,0.000002497713,0.00002939245,0.3863108,0.000002276154,0.00339145,0.0003362455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966341,0.000245934,0.0000755932,0.0005043017,0.001540951,0.0005575941,0.0002646818,0.000131857,0.00004498856],"genre_scores_gemma":[0.9966772,0.0002843666,0.002306863,0.0003676451,0.0001655804,0.00008510587,7.306833e-7,0.00009763084,0.00001489939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6011224,"threshold_uncertainty_score":0.9996673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064882707995111,"score_gpt":0.2118844984793644,"score_spread":0.2012356713994133,"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."}}