{"id":"W4386094226","doi":"10.1002/edn3.463","title":"Processes driving individual variation in environmental <scp>DNA</scp> deposition rates in <i>Daphnia magna</i>","year":2023,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Daphnia magna; Biology; Environmental DNA; Abiotic component; Deposition (geology); Population; Intraspecific competition; Abundance (ecology); Daphnia; Biomass (ecology); Ecology; Zoology; Biodiversity; Zooplankton","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005301507,0.0005506435,0.000394442,0.0002868534,0.0003572126,0.0000781026,0.000578839,0.0002443262,0.0007603037],"category_scores_gemma":[0.00006831258,0.0006300763,0.0001033146,0.000775906,0.0005784488,0.001030321,0.001328184,0.0004037998,0.005945204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001366986,"about_ca_system_score_gemma":0.000006007846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001484766,"about_ca_topic_score_gemma":0.0002089763,"domain_scores_codex":[0.99601,0.0001533186,0.0006260017,0.001114828,0.001095818,0.001000018],"domain_scores_gemma":[0.9989107,0.0002919049,0.0002201413,0.000387125,6.711977e-7,0.0001894516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000868245,0.0004637751,0.844162,0.00001781628,0.00002138908,0.00009864001,0.002997992,0.001097243,0.1491728,0.000001787355,0.0009465631,0.001011294],"study_design_scores_gemma":[0.001086597,0.0001331354,0.9660172,0.00004466877,0.00003318692,0.00001474536,0.00250623,0.0002926444,0.02837638,0.0001365575,0.001037633,0.0003210249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972107,0.0001765169,0.00001746456,0.0001031568,0.0001698868,0.0007923117,0.0001962791,0.0001376274,0.00119602],"genre_scores_gemma":[0.9962628,0.001241615,0.0008868414,0.0002619351,0.00005187552,0.0001571504,0.0004648911,0.00006246043,0.0006104116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1218552,"threshold_uncertainty_score":0.9996151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008844783620425576,"score_gpt":0.1949271951012684,"score_spread":0.1860824114808428,"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."}}