{"id":"W4313594739","doi":"10.1016/j.biocon.2022.109883","title":"The application gap: Genomics for biodiversity and ecosystem service management","year":2023,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Horizon 2020; Fonds de recherche du Québec – Nature et technologies; Fundação para a Ciência e a Tecnologia; H2020 Marie Skłodowska-Curie Actions; Centro Singular de Investigación de Galicia; Xunta de Galicia; European Regional Development Fund; European Commission; Gutenberg Forschungskolleg; Javna Agencija za Raziskovalno Dejavnost RS; Generalitat Valenciana; Ministerio de Ciencia e Innovación; European Cooperation in Science and Technology","keywords":"Biodiversity; Ecosystem services; Environmental resource management; Business; Genomics; Environmental planning; Ecosystem; Ecology; Biology; Geography; Genome; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01949015,0.0009688667,0.001371337,0.001870429,0.001497154,0.007796688,0.002041625,0.01234081,0.008919292],"category_scores_gemma":[0.02520783,0.0003988591,0.001057119,0.002624446,0.008153051,0.01814605,0.007081644,0.01253611,0.002923903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00483194,"about_ca_system_score_gemma":0.009076498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002727989,"about_ca_topic_score_gemma":0.00195672,"domain_scores_codex":[0.9904371,0.005236267,0.0006238174,0.001123446,0.001892136,0.0006872824],"domain_scores_gemma":[0.9655704,0.0270205,0.0009453529,0.001564653,0.002885148,0.002014016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001070802,0.00004783897,0.000606295,0.003809951,0.00005198049,0.0003634162,0.001560559,0.0008073694,0.002207295,0.511633,0.1581574,0.3206479],"study_design_scores_gemma":[0.000009058027,0.00006185417,0.0003849074,0.002576344,0.0000177104,0.0003789761,0.0006869963,0.0003125152,0.0003512934,0.1498035,0.8453811,0.0000357632],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00170394,0.3769972,0.02587598,0.5431402,0.01630522,0.0001051881,0.0003325797,0.000333868,0.03520589],"genre_scores_gemma":[0.0450175,0.524883,0.05171029,0.3415228,0.01950832,0.0003420092,0.0008405586,0.0004848129,0.01569069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01949015,"threshold_uncertainty_score":0.103075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05297404862478753,"score_gpt":0.2245489782368269,"score_spread":0.1715749296120394,"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."}}