{"id":"W4381192687","doi":"10.32920/23541966.v1","title":"Urban Beaver Activity Management and Qualitative Risk Assessment Using GIS","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; Toronto Metropolitan University","funders":"","keywords":"Beaver; Stormwater; Environmental science; Surface runoff; Groundwater recharge; Hydrology (agriculture); Water resource management; Environmental resource management; Geography; Ecology; Groundwater; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003359296,0.0005421137,0.0003073519,0.004486957,0.0006853784,0.002179482,0.0009205439,0.0002834134,0.005776685],"category_scores_gemma":[0.008178266,0.0003643873,0.0006691125,0.002686327,0.0009154528,0.0009033994,0.001697967,0.0003078584,0.0005296089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003293814,"about_ca_system_score_gemma":0.002446707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04670476,"about_ca_topic_score_gemma":0.0658946,"domain_scores_codex":[0.9979483,0.001097683,0.0001112642,0.0001601564,0.0005825743,0.00009997657],"domain_scores_gemma":[0.9960054,0.002555281,0.0003907592,0.0002833088,0.0006443016,0.0001211272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004803789,0.0005646779,0.1824538,0.001133853,0.000237189,0.0008328884,0.03732901,0.1925436,0.007316941,0.05568186,0.01132387,0.5101019],"study_design_scores_gemma":[0.00006502759,0.0003595705,0.09041248,0.0005357353,0.0000904344,0.0003506282,0.06625126,0.7500566,0.006613168,0.04364994,0.04141869,0.0001963744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4506322,0.000182806,0.4930595,0.001178802,0.00003760587,0.003272345,0.007391837,0.001863456,0.04238148],"genre_scores_gemma":[0.7704631,0.000156582,0.2210145,0.00004180542,0.000004953608,0.001299963,0.001589107,0.00006389848,0.005366143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04670476,"threshold_uncertainty_score":0.09286582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08177537569283265,"score_gpt":0.3463478459993632,"score_spread":0.2645724703065306,"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."}}