{"id":"W3030442117","doi":"10.1029/2020gl087237","title":"Lipid Biomarker Record Documents Hydroclimatic Variability of the Mississippi River Basin During the Common Era","year":2020,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Environmental science; Flood myth; Precipitation; Proxy (statistics); Structural basin; Climatology; Arid; Climate change; Flooding (psychology); Growing season; Drainage basin; Paleoclimatology; Hydrology (agriculture); Physical geography; Geology; Geography; Oceanography; Meteorology; Archaeology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001116428,0.0001645433,0.0002588049,0.00005319483,0.0004792486,0.0001046313,0.001020951,0.00004863762,0.0007194612],"category_scores_gemma":[0.001127693,0.00009037011,0.0001724487,0.0008170155,0.0008715315,0.000190668,0.0002133435,0.0006649558,0.0004149413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002246984,"about_ca_system_score_gemma":0.00006514518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003611066,"about_ca_topic_score_gemma":0.0001358224,"domain_scores_codex":[0.9955776,0.001906499,0.0003171063,0.0003913591,0.001151407,0.0006560509],"domain_scores_gemma":[0.9960946,0.002921927,0.00009181901,0.0006112728,0.00005020429,0.0002301611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008946075,0.0001000311,0.9306505,0.00034501,0.0001061242,0.00002969168,0.001075401,0.0002061665,0.03999276,0.00003091085,0.003860307,0.02270849],"study_design_scores_gemma":[0.0002503027,0.00006881259,0.9925818,0.00005034794,0.00001180507,0.000001704451,0.00004641555,0.003486002,0.001156122,0.0003729965,0.001866615,0.0001070772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650504,0.00001732647,0.000005552145,0.03343181,0.0001131438,0.0003907479,0.00005949213,0.0000298798,0.000901668],"genre_scores_gemma":[0.9984929,0.00001300623,0.0001148792,0.001134641,0.0001471759,0.000004868159,0.000007145491,0.000007444961,0.00007793087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0619313,"threshold_uncertainty_score":0.7877596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0368137622560133,"score_gpt":0.2886043995263072,"score_spread":0.2517906372702939,"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."}}