{"id":"W1979817685","doi":"10.1002/rra.1156","title":"Effect of flood regime on tree growth in the floodplain and surrounding uplands of the Wisconsin River","year":2008,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Federal Emergency Management Agency; National Science Foundation","keywords":"Floodplain; Flood myth; Flooding (psychology); Environmental science; Levee; Ecology; Hydrology (agriculture); Overbank; Geography; Biology; Geology; Archaeology","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":[0.0007150361,0.00005277483,0.00008441261,0.00003790431,0.0002466073,0.000003467239,0.0001923415,0.00003593489,0.00002324046],"category_scores_gemma":[0.00002498837,0.0000288998,0.00001517602,0.0003231087,0.001481184,0.00005654804,0.000046211,0.0001645691,0.000006637225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008750494,"about_ca_system_score_gemma":0.000009164265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002540451,"about_ca_topic_score_gemma":0.0001055056,"domain_scores_codex":[0.9992355,0.0001558017,0.00009220128,0.0001471594,0.0002328481,0.0001364746],"domain_scores_gemma":[0.9993141,0.0004737907,0.00002380003,0.0001517837,0.000007269261,0.00002931372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001213274,0.0002282091,0.9836012,0.00005869943,0.00001417948,0.000004092634,0.002964078,0.00003016661,0.00517626,0.004842703,0.0003429883,0.002616107],"study_design_scores_gemma":[0.0010832,0.0006750253,0.9528434,0.00003942157,0.00001807061,0.00002352494,0.0001032155,0.0001020921,0.03671194,0.006200132,0.002104596,0.00009538326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956388,0.00008157688,0.00003334054,0.0004140318,0.000002683409,0.0003730877,0.0000074082,0.000002672104,0.003446334],"genre_scores_gemma":[0.9995872,0.0001952487,0.00002332075,0.00002323631,0.000007455128,0.00006535136,0.000002865452,0.000002516578,0.00009276898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03153568,"threshold_uncertainty_score":0.5457483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02327725955823513,"score_gpt":0.2871168758646891,"score_spread":0.263839616306454,"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."}}