{"id":"W7048777153","doi":"","title":"Long-Term Hydrological Reconstruction From a Beaver Meadow","year":2017,"lang":"en","type":"dissertation","venue":"OakTrust (Texas A&M University Libraries)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beaver; Wetland; Peat; Boreal; Hydrology (agriculture); Testate amoebae; Swamp","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001277513,0.0002241523,0.000177826,0.0008589799,0.0004125353,0.0005523744,0.0002569935,0.0004256265,0.001259045],"category_scores_gemma":[0.0002993245,0.0001948044,0.0001884356,0.000914547,0.0002339832,0.000232068,0.0003174576,0.0002991477,0.0003877599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004492632,"about_ca_system_score_gemma":0.0005994284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04703005,"about_ca_topic_score_gemma":0.1510705,"domain_scores_codex":[0.9999478,0.000004585012,0.000002458087,0.0000168797,0.000014916,0.00001332133],"domain_scores_gemma":[0.999909,0.000007535233,0.00001130187,0.0000125924,0.00003338814,0.00002608798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003636448,0.0004090568,0.5981194,0.0001592996,0.0003485287,0.002066605,0.002206625,0.09486087,0.1401982,0.001814805,0.005693022,0.15376],"study_design_scores_gemma":[0.00003556555,0.00008297821,0.8821806,0.00005283709,0.0000917096,0.0003676486,0.001450848,0.09839126,0.00581546,0.0006592772,0.01080668,0.00006509457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99361,0.000132957,0.002650507,0.0001227037,0.000009888826,0.000009309292,0.0008603935,0.0001745021,0.002429824],"genre_scores_gemma":[0.9941217,0.0001351707,0.003850786,0.00002190159,0.000006395016,0.000005851062,0.001108671,0.00002849235,0.0007210525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04703005,"threshold_uncertainty_score":0.09351265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009730654864334259,"score_gpt":0.1895589797398089,"score_spread":0.1798283248754746,"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."}}