{"id":"W2080512232","doi":"10.1007/s12237-013-9740-y","title":"Impacts of Sea Level Rise on Marsh as Fish Habitat","year":2013,"lang":"en","type":"article","venue":"Estuaries and Coasts","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Marsh; Habitat; Sea level rise; Accretion (finance); Salt marsh; Estuary; Context (archaeology); Sea level; Oceanography; Environmental science; Landscape ecology; Spatial distribution; Ecology; Geography; Physical geography; Geology; Wetland; Climate change; Biology","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":[0.0002630193,0.000203256,0.0001361861,0.0002905478,0.0003951044,0.001004465,0.0002152064,0.0004732731,0.005792489],"category_scores_gemma":[0.0009075034,0.0001024624,0.0003786052,0.0005227383,0.0006804499,0.0005532841,0.0007743679,0.0004071943,0.0002900339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000692,"about_ca_system_score_gemma":0.0005421353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03888504,"about_ca_topic_score_gemma":0.1011119,"domain_scores_codex":[0.999841,0.00005451797,0.000007387703,0.0000162554,0.00001831537,0.00006252829],"domain_scores_gemma":[0.999487,0.0001189733,0.00007995147,0.00002732742,0.00008913534,0.0001975831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001102785,0.0001892014,0.9649272,0.00004124351,0.0001225201,0.001052407,0.0006606675,0.006132642,0.007801842,0.00335939,0.001205368,0.01340465],"study_design_scores_gemma":[0.000007936871,0.000157474,0.9940103,0.000008021342,0.00004509315,0.0000917966,0.001447842,0.002356427,0.0003763262,0.0004723669,0.001018899,0.000007505554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963579,0.00007986133,0.00008845281,0.0001473131,0.000009910728,0.000002015208,0.0001294007,0.000005147383,0.003180106],"genre_scores_gemma":[0.9992687,0.0000562177,0.00002692716,0.00002406694,0.000003491394,7.447819e-7,0.00004281012,0.000002295738,0.0005748635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03888504,"threshold_uncertainty_score":0.07731736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008052546877430818,"score_gpt":0.2020564683000406,"score_spread":0.1940039214226098,"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."}}