{"id":"W2084608725","doi":"10.1371/journal.pone.0040875","title":"Performance of Two Southern California Benthic Community Condition Indices Using Species Abundance and Presence-Only Data: Relevance to DNA Barcoding","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Abundance (ecology); Benthic zone; DNA barcoding; Relative species abundance; Biology; Ecology; Environmental DNA; Weighting; Environmental science; Biodiversity; Physics","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":[0.006334631,0.000818624,0.0005789966,0.001176005,0.0004347408,0.001615408,0.0006787559,0.0004189642,0.0004314779],"category_scores_gemma":[0.01992233,0.0003869307,0.0004591328,0.001796148,0.0004592324,0.001102772,0.0006084603,0.0006185713,0.0002511058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000785512,"about_ca_system_score_gemma":0.0009162356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04072104,"about_ca_topic_score_gemma":0.06812184,"domain_scores_codex":[0.9968758,0.000798529,0.0002517826,0.0008728593,0.001087824,0.0001131743],"domain_scores_gemma":[0.9886436,0.005209037,0.002012389,0.001191578,0.002505092,0.0004383244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005276605,0.000132708,0.9226981,0.0001308404,0.0004026675,0.00004309529,0.000465826,0.01116791,0.005707866,0.0001751484,0.0007136472,0.05783455],"study_design_scores_gemma":[0.00003031089,0.0006740667,0.9106292,0.00004460583,0.0001731577,0.0001023384,0.0003088699,0.07842272,0.008088233,0.0002774838,0.001172187,0.00007688182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894077,0.0001522716,0.007349435,0.00004865199,0.00001426052,0.00003246803,0.0006579395,0.0001267331,0.002210588],"genre_scores_gemma":[0.9801133,0.0001287205,0.01719081,0.00003060459,0.000009693131,0.000043879,0.001847517,0.00005129637,0.0005841476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04072104,"threshold_uncertainty_score":0.08096802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1392573862526437,"score_gpt":0.2901415436255114,"score_spread":0.1508841573728677,"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."}}