{"id":"W2132543522","doi":"10.1111/j.1365-294x.2012.05538.x","title":"Next‐generation sequencing technologies for environmental DNA research","year":2012,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":940,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Government of Canada; Ontario Genomics Institute; Genome Canada","keywords":"DNA sequencing; Biology; Environmental DNA; Pace; Emerging technologies; Computational biology; Data science; Ecology; Computer science; DNA; Genetics; Biodiversity; Artificial intelligence","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":[0.0007479742,0.0004472597,0.0008416583,0.0001765579,0.0005772329,0.00003748016,0.0007316447,0.0007372544,0.0006770866],"category_scores_gemma":[0.00009256759,0.0004272849,0.000335434,0.0002223244,0.001137705,0.0001679457,0.001823202,0.0005321063,0.003111483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003064681,"about_ca_system_score_gemma":0.00001555524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001647626,"about_ca_topic_score_gemma":0.00003203587,"domain_scores_codex":[0.9970266,0.0003463402,0.0004087757,0.000854629,0.0004138933,0.0009497351],"domain_scores_gemma":[0.9989068,0.0002076434,0.000201343,0.0005977139,0.00000341613,0.00008311288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000334863,0.0001414845,0.001420992,0.0007157412,0.0001770074,0.00004700687,0.00009247299,0.00001278191,0.005521489,0.00007994896,0.00346799,0.9883198],"study_design_scores_gemma":[0.0001264242,0.0001680225,0.0001136042,0.00007862356,0.0003456805,0.0000332258,0.0001996811,0.0000142761,0.0006834926,0.00007975676,0.9977152,0.0004420241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002188327,0.9937418,0.0001097874,0.00007672643,0.0003457856,0.002145092,0.0001033741,0.0001097945,0.001179352],"genre_scores_gemma":[0.001631925,0.9915885,0.004735748,0.0000605815,0.00007585089,0.000828013,0.0002983177,0.00006417287,0.0007168643],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9942472,"threshold_uncertainty_score":0.9998179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1770530798871936,"score_gpt":0.3292947065633509,"score_spread":0.1522416266761573,"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."}}