{"id":"W4213257118","doi":"10.1002/edn3.289","title":"Effects of temperature and oxygen on cyanobacterial DNA preservation in sediments: A comparison study of major taxa","year":2022,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; University of Ottawa","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Anoxic waters; Cyanobacteria; Biology; Sediment; Microcystis; Population; Ecology; Environmental chemistry; Botany; Environmental science; Chemistry; Paleontology; Bacteria","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":[0.0002806759,0.0003230199,0.0003152322,0.0005765035,0.0002334065,0.0004424939,0.0001415368,0.0002404926,0.0004602256],"category_scores_gemma":[0.0004923011,0.0001484562,0.0003237249,0.0005001866,0.0002238063,0.0002556632,0.0002417246,0.0001533717,0.000158215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001931325,"about_ca_system_score_gemma":0.0001508764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670849,"about_ca_topic_score_gemma":0.001986772,"domain_scores_codex":[0.9997789,0.00003713139,0.00002306605,0.00007333347,0.00005504373,0.00003243971],"domain_scores_gemma":[0.9995415,0.00007816676,0.0001585914,0.00002682338,0.0001318198,0.00006310488],"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":[0.001126635,0.00009124112,0.0848766,0.0001560497,0.0001089031,0.00006333966,0.0002280148,0.0002518266,0.9054111,0.00002100462,0.00002670192,0.007638589],"study_design_scores_gemma":[0.000008458326,0.001302344,0.8558739,0.00001650431,0.0001304058,0.0001364859,0.0003848548,0.0007470775,0.1406509,0.00003082074,0.0007005689,0.00001774862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998835,0.0004630157,0.0002102272,0.000005673872,0.000004142835,0.000007138088,0.0002545038,0.000004510599,0.0002158107],"genre_scores_gemma":[0.9984531,0.0003022881,0.0005134006,0.00001245552,0.000004963974,0.00001205908,0.0003866677,0.000007748034,0.0003072262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001670849,"threshold_uncertainty_score":0.003322244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006469869491664938,"score_gpt":0.1978167486215351,"score_spread":0.1913468791298702,"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."}}