{"id":"W1969726383","doi":"10.1080/07438140809354066","title":"Predicting the spatial mud energy and mud deposition boundary depth in a small boreal reservoir before and after draw down","year":2008,"lang":"en","type":"article","venue":"Lake and Reservoir Management","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Manitoba","funders":"","keywords":"Profundal zone; Geology; Littoral zone; Fetch; Sedimentary depositional environment; Deposition (geology); Sediment; Waves and shallow water; Hydrology (agriculture); Water level; Geomorphology; Oceanography; Structural basin; Geotechnical engineering; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002593615,0.0001767316,0.0001539311,0.000058183,0.0003846501,0.0001071082,0.0001468007,0.00007052457,0.00003245099],"category_scores_gemma":[0.000006289979,0.0001253898,0.00002717885,0.0001486018,0.0002295272,0.0001935027,0.001031403,0.0001165627,0.000002768869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005732462,"about_ca_system_score_gemma":0.00000472512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00908375,"about_ca_topic_score_gemma":0.7146484,"domain_scores_codex":[0.9987143,0.00007906868,0.0002431616,0.0004054622,0.0002247002,0.0003333648],"domain_scores_gemma":[0.9995425,0.00002940319,0.00005970957,0.0002604515,0.000004695805,0.0001031872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001535299,0.00005203285,0.9806236,0.0001067097,0.00002766582,0.0003167753,0.001247382,0.0003254572,0.0000116716,0.00009850927,0.0001716838,0.01686497],"study_design_scores_gemma":[0.0006205164,0.0001205455,0.9698486,0.00007684543,0.00002353523,0.0000797587,0.0002886224,0.02141,0.000007292736,0.0007046416,0.006662982,0.0001566352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904045,0.0001651702,0.0003679803,0.0006609248,0.00005954529,0.0003347539,0.00001666681,0.00002677856,0.007963636],"genre_scores_gemma":[0.9978576,0.0005986572,0.0003114994,0.0001751997,0.00005430686,0.00008663045,0.0000334931,0.00001595017,0.0008666684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7055646,"threshold_uncertainty_score":0.9975148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005408849880445229,"score_gpt":0.1834270819154654,"score_spread":0.1780182320350202,"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."}}