{"id":"W1984253516","doi":"10.1080/14634980490461506","title":"Factors affecting the evolution of coastal wetlands of the Laurentian Great Lakes: An overview","year":2004,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Environment and Climate Change Canada","funders":"U.S. Geological Survey; National Water Research Institute","keywords":"Wetland; Natural (archaeology); Ecosystem; Structural basin; Environmental science; Ecology; Geography; Environmental resource management; Geology","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":[0.0001785442,0.0002623324,0.0002286765,0.001622615,0.0003079629,0.0006723509,0.0001477838,0.0002019957,0.0008021535],"category_scores_gemma":[0.0002001478,0.0000959839,0.0002648763,0.001414388,0.0002270951,0.000359908,0.0002884114,0.000121495,0.0001107824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005757968,"about_ca_system_score_gemma":0.0005110131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02388607,"about_ca_topic_score_gemma":0.04637758,"domain_scores_codex":[0.9999335,0.00001129872,0.000009195065,0.0000180995,0.0000133161,0.00001464115],"domain_scores_gemma":[0.9998313,0.00003988,0.0000486948,0.000004860551,0.00003511358,0.00004001562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000221809,0.00006677071,0.7221351,0.001286102,0.0003483234,0.002129824,0.00147724,0.001856123,0.01641336,0.0008906982,0.001931506,0.2512432],"study_design_scores_gemma":[0.000001478481,0.00005119527,0.9892402,0.0000447891,0.00005662748,0.0006190736,0.000265084,0.0001916377,0.0002969862,0.000120625,0.009101841,0.00001058414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078248,0.08306107,0.0008837214,0.0007237281,0.00003650668,0.00002600009,0.0007439743,0.000056045,0.006644267],"genre_scores_gemma":[0.9046839,0.08818834,0.002785959,0.0001846525,0.000176359,0.00001745626,0.001052157,0.0000141083,0.002897055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9761139,"threshold_uncertainty_score":0.04749411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479131380245988,"score_gpt":0.262043971732272,"score_spread":0.2372526579298121,"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."}}