{"id":"W4414879948","doi":"10.1002/edn3.70270","title":"Capture Probe, Metabarcoding, or Shotgun Sequencing: Which Best Reflects Local Vegetation?","year":2025,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Tula Foundation; McMaster University Medical Centre","funders":"H2020 European Research Council; Agence Nationale de la Recherche; Norges Forskningsråd; European Commission","keywords":"Shotgun; Shotgun sequencing; False positive paradox; Replicate; Taxon; Vegetation (pathology); Abundance (ecology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004157566,0.0009946381,0.002101333,0.002511613,0.0004467504,0.002008271,0.000726642,0.001471178,0.0007991624],"category_scores_gemma":[0.007562625,0.000465286,0.0005983288,0.002334497,0.000759317,0.001473114,0.0006032231,0.0006826089,0.0007538555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003548267,"about_ca_system_score_gemma":0.0002958736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002067392,"about_ca_topic_score_gemma":0.006901321,"domain_scores_codex":[0.9971241,0.0009634774,0.0002465038,0.0008938357,0.0005012657,0.0002707684],"domain_scores_gemma":[0.9962846,0.002103497,0.0006947016,0.0001957115,0.0005818682,0.0001396416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008106277,0.0002068869,0.3588631,0.002154668,0.001038355,0.0003718754,0.000865426,0.002404193,0.5159654,0.0003870939,0.001296162,0.1156362],"study_design_scores_gemma":[0.00004415129,0.001358767,0.7494076,0.0008313428,0.001098196,0.001709748,0.002435742,0.03198684,0.2017776,0.002492111,0.00660066,0.0002570856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.900795,0.008986922,0.08575706,0.0007323225,0.0001014945,0.0001058531,0.0009800839,0.0006296126,0.001911609],"genre_scores_gemma":[0.9125527,0.002325173,0.08267334,0.0005681765,0.00005145503,0.00006711443,0.0008526399,0.000163362,0.0007459823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004157566,"threshold_uncertainty_score":0.02198762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772290991240528,"score_gpt":0.2400874193506296,"score_spread":0.2223645094382244,"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."}}