{"id":"W4383067562","doi":"10.1080/07011784.2023.2224522","title":"Influences of urban stormwater management ponds on wetlandscape connectivity","year":2023,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Stormwater management; Stormwater; Environmental science; Environmental planning; Water resource management; Business; Environmental resource management; Hydrology (agriculture); Geography; Surface runoff; Engineering; Ecology; Geotechnical engineering; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000703807,0.0002997316,0.0003296566,0.0007737261,0.0007460274,0.0001988304,0.0006017371,0.0001230221,0.001065902],"category_scores_gemma":[0.00005858546,0.0002333426,0.000163596,0.0005706541,0.0003618977,0.0004494693,0.00008914452,0.0003605513,0.0002751097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008374809,"about_ca_system_score_gemma":0.000003977727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1070555,"about_ca_topic_score_gemma":0.4027531,"domain_scores_codex":[0.997603,0.0001898746,0.0005258296,0.0004311256,0.0002433475,0.001006841],"domain_scores_gemma":[0.99841,0.00007008974,0.0002027692,0.0004015054,0.00006265156,0.0008530033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002776436,0.0001003592,0.4714466,0.0002165484,0.0004629565,0.002016202,0.4657663,0.01815139,0.008265464,0.00003354928,0.005633563,0.02762944],"study_design_scores_gemma":[0.0003005235,0.0002715519,0.153046,0.0002539715,0.00004390496,0.0002500563,0.001355498,0.0008587496,0.002032688,0.0006886512,0.840499,0.0003994529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889064,0.00004798879,0.000003636632,0.001045388,0.0002505679,0.0002005408,0.00003541876,0.00006006466,0.009449939],"genre_scores_gemma":[0.9948789,0.0001298571,0.00004984967,0.0004678417,0.0001836627,0.00002709067,0.0000262542,0.00004218727,0.004194383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8348655,"threshold_uncertainty_score":0.9998472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239000645287088,"score_gpt":0.2033042092268363,"score_spread":0.1909142027739654,"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."}}