{"id":"W4312198003","doi":"10.1101/2022.12.26.521929","title":"“Quasigenus” among <i>Phycodnaviridae</i> : A diversity of chlorophyte-infecting viruses in response to a dense algal culture in a high-rate algal pond","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Office of Science; Agence Nationale de la Recherche; Aix-Marseille Université; Joint Genome Institute; Institut Français de Recherche pour l'Exploitation de la Mer; European Commission; U.S. Department of Energy","keywords":"Biology; Algae; Algal bloom; Viral quasispecies; Chlorophyta; Host (biology); Metagenomics; Giant Virus; Virus; Ulvophyceae; Botany; Ecology; Phytoplankton; Genome; Gene; Genetics; Nutrient","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002306037,0.0002215953,0.0003137026,0.0002928045,0.0004554885,0.000485058,0.0001827015,0.0002356839,0.000573381],"category_scores_gemma":[0.000298694,0.0001829497,0.0002689919,0.0002814206,0.0003095994,0.000391613,0.0005530374,0.0004735883,0.0001028685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002914876,"about_ca_system_score_gemma":0.0002590137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156285,"about_ca_topic_score_gemma":0.003658902,"domain_scores_codex":[0.9997181,0.00002788386,0.00002009606,0.0001200712,0.00006515377,0.00004861589],"domain_scores_gemma":[0.9997017,0.00004077129,0.0001001852,0.00002767533,0.00006624142,0.00006330851],"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":[0.0001462219,0.00002887997,0.03555083,0.00005336094,0.00002226571,0.00006498279,0.0002608075,0.00005601188,0.9613357,0.00003231714,0.00003864873,0.002410143],"study_design_scores_gemma":[0.00001155925,0.0007823751,0.8561779,0.00001980061,0.00006997348,0.0004474779,0.002189908,0.001325795,0.136247,0.0001227217,0.002577943,0.00002760655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990309,0.0001517349,0.0003119928,0.00001903535,0.000006365356,0.00001216276,0.0001676552,0.000007446598,0.0002927245],"genre_scores_gemma":[0.9973822,0.000144544,0.001180613,0.00008874284,0.000007533364,0.00003012099,0.0006174778,0.000009420658,0.0005393272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002156285,"threshold_uncertainty_score":0.004287422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210520522139611,"score_gpt":0.2196328765510877,"score_spread":0.2075276713296916,"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."}}