{"id":"W3020189787","doi":"","title":"Making Room for Wetlands - Design and Implementation of Dyke Managed Realignment for Climate Change Adaptationin the Bay of Fundy, Canada","year":2019,"lang":"en","type":"article","venue":"EGUGA","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bay; Wetland; Climate change; Oceanography; Fishery; Geology; Geography; Environmental science; Environmental resource management; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002706666,0.00004594925,0.00009127063,0.00000435257,0.00009414942,0.000006785227,0.00006128102,0.00002226548,0.00009984703],"category_scores_gemma":[0.000004153778,0.00001758904,0.00002080705,0.00003821708,0.00001013531,0.00004030445,0.00001751358,0.0000132021,3.463576e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001699319,"about_ca_system_score_gemma":0.00001025042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01415882,"about_ca_topic_score_gemma":0.4020433,"domain_scores_codex":[0.999571,0.00003090539,0.0001307836,0.0000889788,0.00004708116,0.0001312047],"domain_scores_gemma":[0.9996215,0.0002037762,0.0001130088,0.00002388581,0.00002643956,0.00001145102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008865061,0.0001161528,0.5924909,0.0006474298,0.0002123601,0.000001216402,0.00268919,0.0002556848,0.04783291,0.0410988,0.01366012,0.3001087],"study_design_scores_gemma":[0.001217143,0.001607039,0.9298993,0.00003747012,0.00006540475,0.000001958699,0.01126179,0.003474284,0.01348506,0.001511704,0.03720377,0.0002350353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968497,0.00002917567,0.000165457,0.001417978,0.0001076152,0.001172717,0.0001461359,0.000003575304,0.0001076614],"genre_scores_gemma":[0.9990333,0.0000156634,0.0004315132,0.0002681422,0.00004188735,0.00011389,0.00005847773,4.970402e-7,0.00003667884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3878845,"threshold_uncertainty_score":0.992406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06411382733342201,"score_gpt":0.2586793165553461,"score_spread":0.1945654892219241,"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."}}