{"id":"W4392963880","doi":"10.1111/1755-0998.13951","title":"Revealing population demographics with environmental RNA","year":2024,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Biology; Environmental DNA; Biodiversity; Endangered species; Ecology; Demographics; Population; Environmental resource management; Environmental health; Habitat","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":[],"consensus_categories":[],"category_scores_codex":[0.0001349913,0.0001838855,0.0001444401,0.00006705989,0.000251415,0.00003916057,0.000187065,0.0001062087,0.0008101302],"category_scores_gemma":[0.000006955535,0.0001615686,0.00007145101,0.000178027,0.0004514339,0.0001176739,0.0002850551,0.0001793312,0.0006577376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001985376,"about_ca_system_score_gemma":9.169605e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000690075,"about_ca_topic_score_gemma":0.00006119355,"domain_scores_codex":[0.9987326,0.00007282367,0.0001434886,0.000468964,0.0002821611,0.0002999369],"domain_scores_gemma":[0.9996456,0.00004583216,0.00004057346,0.0001934776,6.197808e-7,0.00007392612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001351234,0.00003902045,0.9820902,0.00000969953,0.00007034076,0.0002317009,0.0003488153,0.001052803,0.01422756,0.00002632411,0.000440049,0.001450006],"study_design_scores_gemma":[0.0001611683,0.0001720385,0.9849856,0.00001671975,0.00008227621,0.00004362757,0.0002243098,0.0002713552,0.001714246,0.0001423253,0.01192439,0.0002619392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962798,0.0005353651,0.0001396433,0.0003559713,0.00008289011,0.0001920805,0.0000131836,0.000107264,0.002293759],"genre_scores_gemma":[0.9965208,0.00006816736,0.0025693,0.0003763925,0.00001881016,0.00001592921,0.00002605743,0.00002229097,0.0003823179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01251331,"threshold_uncertainty_score":0.8870357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004069780531941845,"score_gpt":0.1824471758112336,"score_spread":0.1783773952792918,"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."}}