{"id":"W2133467757","doi":"10.1002/aqc.2287","title":"Comparative assessment of scoring methods to evaluate the conservation value of pond and small lake biodiversity","year":2012,"lang":"en","type":"article","venue":"Aquatic Conservation Marine and Freshwater Ecosystems","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Genève; Haute école Spécialisée de Suisse Occidentale; Universiteit Stellenbosch; Centre National de la Recherche Scientifique; National Research Foundation","keywords":"Species richness; Biodiversity; Endangered species; Fauna; Assemblage (archaeology); Ecology; IUCN Red List; Macrophyte; Geography; Dragonfly; Conservation status; Biology; Habitat; Odonata","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01515974,0.0006463514,0.0005346044,0.006469552,0.0004932946,0.001259895,0.0007219916,0.0004103673,0.001375139],"category_scores_gemma":[0.02470179,0.0002030249,0.0006996415,0.003666318,0.0007015156,0.000953415,0.001406715,0.0004361069,0.0002665124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000669808,"about_ca_system_score_gemma":0.0003900102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001157932,"about_ca_topic_score_gemma":0.002617003,"domain_scores_codex":[0.9856828,0.008136971,0.00092904,0.000595857,0.004395501,0.0002597099],"domain_scores_gemma":[0.9649008,0.01986264,0.004169524,0.001478978,0.009010621,0.000577438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002512225,0.0005249163,0.5732194,0.001072676,0.001302523,0.0001277971,0.002218201,0.009038811,0.02807579,0.001459992,0.001539352,0.3789082],"study_design_scores_gemma":[0.00011755,0.004245951,0.8812941,0.0002997902,0.0004797143,0.0004354132,0.003829435,0.07904614,0.02438264,0.00264169,0.002998183,0.000229428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611433,0.0008378416,0.03336459,0.00005974165,0.00007203065,0.0003459239,0.0003818875,0.0001217497,0.003672892],"genre_scores_gemma":[0.9463623,0.0002352744,0.05215558,0.00001485075,0.00002009352,0.0002405505,0.0002906739,0.00002319545,0.0006575225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01515974,"threshold_uncertainty_score":0.08017331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05058497302892447,"score_gpt":0.2922798993959196,"score_spread":0.2416949263669952,"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."}}