{"id":"W2508573573","doi":"10.1002/aqc.2638","title":"Achieving Aichi Biodiversity Target 11 to improve the performance of protected areas and conserve freshwater biodiversity","year":2016,"lang":"en","type":"article","venue":"Aquatic Conservation Marine and Freshwater Ecosystems","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture","funders":"","keywords":"Biodiversity; Convention on Biological Diversity; Measurement of biodiversity; Freshwater ecosystem; Environmental resource management; Aquatic biodiversity research; Environmental planning; Ecosystem services; Global biodiversity; Ecosystem; Action plan; Geography; Business; Environmental science; Ecology; Biodiversity conservation; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004413291,0.0001463802,0.000202636,0.00005072222,0.0003429952,0.00002401411,0.0001548131,0.00005235021,0.0007428842],"category_scores_gemma":[0.00006426815,0.00008547632,0.00002511804,0.0001130222,0.0002483545,0.0002337471,0.0007935746,0.00005047401,0.0001283708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003545836,"about_ca_system_score_gemma":0.000005641145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0228759,"about_ca_topic_score_gemma":0.313894,"domain_scores_codex":[0.9990259,0.00009506784,0.0002428593,0.0002898727,0.0001372419,0.0002090486],"domain_scores_gemma":[0.9994466,0.0001259351,0.0001343207,0.0002111024,0.00002246284,0.00005962999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004697982,0.00002004456,0.9762163,0.0000606471,0.0000444969,0.000001681697,0.000321718,0.000001696968,0.001636422,0.00001314751,0.02135854,0.0002782859],"study_design_scores_gemma":[0.0009872869,0.0002581472,0.9468793,0.00004332831,0.00006556388,0.000004549931,0.0001951002,0.004893599,0.002084906,0.00009467138,0.04425472,0.0002388619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879089,0.000004800987,0.0001149239,0.01087725,0.0000944705,0.0007389375,0.00007509159,0.00002675753,0.0001588723],"genre_scores_gemma":[0.9976081,0.0000298581,0.0004520452,0.001148094,0.00001150168,0.0000402223,0.00001647631,0.000003276232,0.000690398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2910182,"threshold_uncertainty_score":0.9836308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009191066718660056,"score_gpt":0.1753536333722372,"score_spread":0.1661625666535771,"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."}}