{"id":"W4327814546","doi":"10.1002/ggn2.202200032","title":"The Contribution of Digital Sequence Information to Conservation Biology: A Southern African Perspective","year":2023,"lang":"en","type":"article","venue":"Advanced Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; European Commission; Higher Education Funding Council for Wales; Global Challenges Research Fund","keywords":"Perspective (graphical); Sequence (biology); Biology; Conservation biology; Evolutionary biology; Computational biology; Geography; Zoology; Computer science; Genetics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009809286,0.00008376007,0.00007923384,0.00003011091,0.0001129773,0.00001949525,0.0001275128,0.00004710031,3.701578e-7],"category_scores_gemma":[0.0002842939,0.00006782366,0.00003754587,0.0001826022,0.0001007647,0.000001871043,0.0001037957,0.00002801115,0.00002053969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001896507,"about_ca_system_score_gemma":0.00004205033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001213657,"about_ca_topic_score_gemma":0.00004445781,"domain_scores_codex":[0.9994492,0.00001673359,0.0001765888,0.0001250308,0.00006402297,0.000168404],"domain_scores_gemma":[0.9992824,0.00003268009,0.00009429835,0.0001916109,0.000365442,0.00003362277],"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":[0.000142032,0.00001116371,0.01048793,0.000004197477,0.00007786677,1.684421e-7,0.001197327,0.002818777,0.9573125,0.003241805,0.0002209298,0.02448534],"study_design_scores_gemma":[0.002091856,0.002459944,0.04207092,0.00002453107,0.00006518175,0.000008035839,0.02569814,0.001947113,0.4447879,0.032587,0.4473859,0.0008734087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948602,0.0004673173,0.00282471,0.0009350153,0.0001096274,0.0002663997,0.0002119067,0.000007659812,0.0003171631],"genre_scores_gemma":[0.9989178,0.0003693367,0.0003560712,0.0001154261,0.00003631665,0.00003137048,0.0001085578,0.000006364614,0.00005875972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5125245,"threshold_uncertainty_score":0.2765768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191233425712307,"score_gpt":0.2692881602677507,"score_spread":0.2573758260106276,"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."}}