{"id":"W4378530578","doi":"10.1111/csp2.12954","title":"A wetland permanence classification tool to support prairie wetland conservation and policy implementation","year":2023,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ducks Unlimited Canada","funders":"","keywords":"Wetland; Environmental science; Pothole (geology); Biodiversity; Ephemeral key; Ecosystem; Hydrology (agriculture); Wetland conservation; Drainage; Distribution (mathematics); Wildlife; Geography; Environmental resource management; Water resource management; Ecology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002847828,0.0001086421,0.00009320579,0.0001961253,0.0007693828,0.0001661426,0.000138135,0.00003684362,0.00008027825],"category_scores_gemma":[0.001864375,0.0001017337,0.00000832279,0.001477281,0.0005575849,0.002162753,0.0002745177,0.00006681136,0.0003171655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007807156,"about_ca_system_score_gemma":0.00008684562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007476228,"about_ca_topic_score_gemma":0.0003655262,"domain_scores_codex":[0.9985336,0.00009096376,0.000224759,0.000436382,0.0004346479,0.0002796149],"domain_scores_gemma":[0.9991501,0.000354811,0.0001347971,0.0001710259,0.00009301263,0.00009623823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001720455,0.00004121382,0.7476309,0.00003017248,0.00002027173,0.00001172327,0.006212433,0.00004170241,0.06493521,0.007324034,0.1141849,0.05939544],"study_design_scores_gemma":[0.0002879211,0.0001119463,0.7446474,0.000003723681,0.00001942972,0.00001796936,0.001511379,0.001451895,0.0003056315,0.0005681898,0.2509467,0.0001277827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8199652,0.000003845775,0.0005144192,0.1750511,0.00006938269,0.0004113338,0.000005216669,0.00006367105,0.003915797],"genre_scores_gemma":[0.9776127,0.0001506581,0.001035089,0.02043015,0.00003349466,0.00008276903,0.00002653121,0.000005818783,0.0006227877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1576474,"threshold_uncertainty_score":0.5917548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05924217160297534,"score_gpt":0.3656643970901616,"score_spread":0.3064222254871862,"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."}}