{"id":"W4406116943","doi":"10.1007/978-3-031-71344-6_7","title":"Pre and Post Restoration Hydrology of Big Meadow Bog","year":2024,"lang":"en","type":"book-chapter","venue":"Environmental contamination remediation and management","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nova Scotia Department of Agriculture; Technical University of Nova Scotia; Dalhousie University","funders":"","keywords":"Hydrology (agriculture); Bog; Environmental science; Forestry; Geology; Geography; Peat; Archaeology; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000958916,0.00006040373,0.0000649502,0.0003198564,0.0002188845,0.0003644128,0.0001233233,0.0001463881,0.00258714],"category_scores_gemma":[0.0002180806,0.00005619005,0.0001134066,0.0002875921,0.0001554807,0.0002383946,0.0001703685,0.000181416,0.0002748574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006205707,"about_ca_system_score_gemma":0.0003972001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0693651,"about_ca_topic_score_gemma":0.1950779,"domain_scores_codex":[0.9999599,0.000007393728,0.000002215417,0.000007411956,0.000007608739,0.00001530455],"domain_scores_gemma":[0.9999146,0.00001806746,0.00001662706,0.000005307931,0.00001906738,0.00002636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008196621,0.0002596678,0.9304201,0.00006551518,0.00005110104,0.0006441018,0.001145277,0.004061887,0.007528956,0.002388935,0.009486944,0.04312781],"study_design_scores_gemma":[5.332406e-7,0.00001076558,0.9986095,0.000001968032,0.000001832799,0.00001710067,0.0001634096,0.0001499784,0.0001478799,0.00004440973,0.0008510348,0.00000149824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894219,0.000226738,0.0001105681,0.00008609207,0.0000216698,0.000005207701,0.001302949,0.00002652975,0.008798405],"genre_scores_gemma":[0.9936182,0.0001356494,0.00007859289,0.00001476459,0.00001199943,0.000003669768,0.0008842004,0.000009310693,0.005243675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9306349,"threshold_uncertainty_score":0.1379226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005591310445036254,"score_gpt":0.1877523313844582,"score_spread":0.1821610209394219,"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."}}