{"id":"W2749368005","doi":"10.1007/s10530-017-1545-7","title":"Early detection of a highly invasive bivalve based on environmental DNA (eDNA)","year":2017,"lang":"en","type":"article","venue":"Biological Invasions","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Environmental DNA; Biology; Mussel; Abundance (ecology); Primer (cosmetics); Invasive species; Sampling (signal processing); Ecology; Zoology; Biodiversity","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000153233,0.0002185807,0.0002296545,0.00003719074,0.0009248416,0.00002657329,0.0005913936,0.0001816938,0.0009586157],"category_scores_gemma":[0.0002763172,0.0001675123,0.0001760417,0.00004789473,0.001611984,0.0001430613,0.0007969954,0.0001751663,0.001400702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002066895,"about_ca_system_score_gemma":0.000002669239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00021082,"about_ca_topic_score_gemma":0.00003692981,"domain_scores_codex":[0.9985934,0.00009003759,0.0002092696,0.0004842212,0.0003294856,0.0002936005],"domain_scores_gemma":[0.9987803,0.0002149376,0.0002371548,0.0006311575,0.000002072206,0.0001344504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004749111,0.0002510642,0.5608039,0.000001847915,0.00001329506,0.000008886403,0.00005053642,0.00003852762,0.4375133,0.00001310243,0.0001741,0.00108392],"study_design_scores_gemma":[0.0003595354,0.0006519811,0.8608201,0.00001499901,0.00001624402,0.000001030886,0.00007470935,0.00002837929,0.136909,0.0001248102,0.0008168576,0.0001824299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945241,0.00001268936,0.00004223853,0.0002744965,0.0001260387,0.0002949629,0.0001159703,0.00003647069,0.004573027],"genre_scores_gemma":[0.9985947,0.0001033642,0.0008033108,0.000284181,0.00002612438,0.00002336847,0.00001305723,0.000008334607,0.0001435392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3006043,"threshold_uncertainty_score":0.9999546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09632139981685059,"score_gpt":0.2280252472359032,"score_spread":0.1317038474190526,"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."}}