{"id":"W3091904134","doi":"10.22541/au.160227947.79535649/v1","title":"Hydro-climatic variation drives the long-term ecological evolution of neotropical floodplain lakes: an example from the Magdalena River system, Colombia","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Geological and Tectonic Studies in Latin America","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Floodplain; Dominance (genetics); Ecology; Benthic zone; Environmental science; Lake ecosystem; Diatom; Plankton; Hydrology (agriculture); Ecosystem; Geography; Geology; 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":[0.0001693274,0.000136239,0.0001553779,0.0006985079,0.000670196,0.0009060247,0.0002328175,0.000204115,0.001657556],"category_scores_gemma":[0.0006730962,0.0001070474,0.0001892715,0.0006535149,0.0004158175,0.0003525882,0.0005614362,0.0002114377,0.00009173521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053476,"about_ca_system_score_gemma":0.0005489063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1876136,"about_ca_topic_score_gemma":0.3505883,"domain_scores_codex":[0.9999086,0.00001993864,0.000004717427,0.00002748332,0.000009360447,0.0000298325],"domain_scores_gemma":[0.999772,0.00003043272,0.00005033506,0.00001195992,0.00006251707,0.00007277415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007431766,0.00002761954,0.9788458,0.00004330902,0.00007092091,0.0003767522,0.003958847,0.0003090545,0.004932854,0.0005056667,0.0006657306,0.01018903],"study_design_scores_gemma":[0.000001091297,0.00000350546,0.9981334,0.000005232193,0.000006163925,0.00003409623,0.00120875,0.0002218768,0.00003246579,0.00003693389,0.0003121677,0.000004314302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984148,0.0002320111,0.00005839929,0.0001054254,0.000002228099,0.000003183402,0.0001727796,0.000005661714,0.00100566],"genre_scores_gemma":[0.9995963,0.00008782749,0.00006138045,0.00001055592,0.000001955392,0.000001963717,0.00009636933,0.000003131754,0.0001406577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1876136,"threshold_uncertainty_score":0.3730431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009602425005349,"score_gpt":0.2210134855804197,"score_spread":0.1909174613303662,"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."}}