{"id":"W2023084754","doi":"10.1089/cpt.2007.9993","title":"Genomic Diversity Research and the Role of Biorepositories","year":2007,"lang":"en","type":"article","venue":"Cell Preservation Technology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biorepository; Genotyping; Genome; Data science; Computational biology; Biodiversity; Biology; Biobank; Evolutionary biology; Computer science; Bioinformatics; Genetics; Ecology; Gene; Genotype","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006636477,0.00005513881,0.00008308636,0.00006866267,0.0005316057,0.000005356184,0.0003685674,0.00008935942,0.00005961953],"category_scores_gemma":[0.00004773674,0.00004304543,0.00001447293,0.0002955946,0.002976075,0.00009941736,0.00339344,0.0001435948,0.00004723655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008049957,"about_ca_system_score_gemma":8.586679e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006494964,"about_ca_topic_score_gemma":0.00004596789,"domain_scores_codex":[0.999296,0.00002887393,0.0001112651,0.0001711717,0.0002198804,0.0001728141],"domain_scores_gemma":[0.9995434,0.000134855,0.00005918281,0.0002315113,0.00001225398,0.00001883135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004136129,0.00002845455,0.9450516,0.000002837269,0.000005423144,6.66722e-7,0.0006083128,0.000004117921,0.05186822,0.001334603,0.0002393879,0.000814981],"study_design_scores_gemma":[0.000387269,0.00006871561,0.7509756,0.000001471812,0.00000695546,9.736365e-7,0.003055552,0.00002688416,0.2178348,0.0217688,0.005817972,0.00005500249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885357,0.0003402792,0.00004250789,0.0004975977,0.00002920005,0.0001983954,0.000001922029,0.00002665977,0.01032775],"genre_scores_gemma":[0.9983306,0.0001091674,0.001059237,0.00001583546,0.000007120053,0.000003136271,8.972554e-7,0.000002587707,0.0004714185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.194076,"threshold_uncertainty_score":0.9997373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721767477583411,"score_gpt":0.2253646283634803,"score_spread":0.2081469535876462,"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."}}