{"id":"W4220873505","doi":"10.5194/egusphere-egu22-13068","title":"Lessons Learned: Implementing Managed RealignmentAnd Restoring Tidal Wetlands In Nova Scotia","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; CB Wetlands & Environmental Specialists","funders":"","keywords":"Wetland; Nova scotia; Presentation (obstetrics); Culvert; Adaptive management; Environmental science; Best practice; Environmental resource management; Hydrology (agriculture); Engineering; Oceanography; Ecology; Geology; Political science","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":[0.004799174,0.0003558048,0.0001760293,0.0004565258,0.004391388,0.003815032,0.002517865,0.00169352,0.002320743],"category_scores_gemma":[0.008461223,0.0002305201,0.0002793625,0.0006623981,0.001796964,0.001126055,0.003200648,0.001436555,0.0002660397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0320041,"about_ca_system_score_gemma":0.1177415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9086593,"about_ca_topic_score_gemma":0.9602141,"domain_scores_codex":[0.9961511,0.001168548,0.0001639712,0.0002748426,0.0008185487,0.001422855],"domain_scores_gemma":[0.9938159,0.0007829261,0.0003684154,0.0003625336,0.00190391,0.002766298],"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":[0.0005392536,0.001308198,0.1570191,0.002243926,0.0001097619,0.01179188,0.05433767,0.01514051,0.01325437,0.009346677,0.06383402,0.6710747],"study_design_scores_gemma":[0.0002125885,0.001796326,0.4048928,0.002605883,0.00009684725,0.001571405,0.1888919,0.005285258,0.005144846,0.002702587,0.3866132,0.0001862649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7274781,0.00558774,0.005763195,0.1683578,0.001234603,0.001970708,0.0005669361,0.0003440828,0.08869684],"genre_scores_gemma":[0.9459579,0.004179307,0.01123698,0.009109372,0.0001020175,0.000294832,0.000258862,0.00004581364,0.02881489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09134072,"threshold_uncertainty_score":0.2322071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04320903534843606,"score_gpt":0.3060655955554972,"score_spread":0.2628565602070611,"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."}}