{"id":"W4391988913","doi":"10.1007/s10980-024-01829-9","title":"Change detection of wetland vegetation under contrasting water-level scenarios in coastal marshes of eastern Georgian Bay","year":2024,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Mitacs","keywords":"Wetland; Marsh; Environmental science; Bay; Water level; Hydrology (agriculture); Vegetation (pathology); Context (archaeology); Water quality; Landscape ecology; Salt marsh; Physical geography; Period (music); Climate change; Ecology; Geography; Geology; Habitat","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002299345,0.0001968276,0.0001385397,0.0007169727,0.0001960005,0.0004604847,0.0002333044,0.0002353758,0.0003919437],"category_scores_gemma":[0.0003074695,0.0001282068,0.0002153242,0.0005581436,0.0002364293,0.0002286699,0.0004495841,0.0001086697,0.00008681498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007220694,"about_ca_system_score_gemma":0.0003137295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05816075,"about_ca_topic_score_gemma":0.1549287,"domain_scores_codex":[0.9999051,0.00001289127,0.00000822899,0.00003247107,0.00001516806,0.00002616595],"domain_scores_gemma":[0.9998001,0.000026303,0.00005553332,0.00001865354,0.00004566696,0.00005375481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008203258,0.00002189684,0.9891341,0.00001762706,0.00003581504,0.0001181052,0.0002548815,0.001224427,0.005133554,0.00003248444,0.0001328605,0.003812106],"study_design_scores_gemma":[0.000001303149,0.000006582229,0.9983029,0.000002321641,0.000005433672,0.00001322976,0.0001670212,0.001309181,0.0001170668,0.00000635905,0.00006637332,0.00000220394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995915,0.00001227257,0.00004809838,0.000008142473,8.854055e-7,0.000001729956,0.0001911982,0.000006448497,0.0001397324],"genre_scores_gemma":[0.9995301,0.000009023238,0.0001319065,0.000004633041,5.624597e-7,0.000002279081,0.0002583897,0.000001216888,0.00006183254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9418392,"threshold_uncertainty_score":0.1156445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169992418569199,"score_gpt":0.2017622980150321,"score_spread":0.1800623738293401,"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."}}