{"id":"W2014041412","doi":"10.1134/s0097807807050089","title":"Spatial and temporal transformations of bottom sediments in the Middle Volga reservoirs","year":2007,"lang":"en","type":"article","venue":"Water Resources","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"","keywords":"Geology; Hydrogeology; Spatial distribution; Volga region; Geochemistry; Geomorphology; Geotechnical engineering; Remote sensing","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":[0.0001293574,0.0001049023,0.0001049557,0.001020465,0.0002190407,0.0004504965,0.000128561,0.0001331052,0.0004164919],"category_scores_gemma":[0.0003298017,0.0001240377,0.0001529055,0.001083227,0.0002732635,0.0002284888,0.0003350466,0.0001349153,0.00008467682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005103623,"about_ca_system_score_gemma":0.0002689158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05382043,"about_ca_topic_score_gemma":0.08876117,"domain_scores_codex":[0.9999387,0.000007081749,0.00000737436,0.00001874777,0.00000824317,0.00001978533],"domain_scores_gemma":[0.9998252,0.00002482522,0.00005633882,0.00001550033,0.00005144219,0.00002671487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003908517,0.00002632286,0.9651599,0.00003366052,0.00009665118,0.0004337581,0.001104983,0.004142578,0.01495615,0.0004820102,0.0001756144,0.01299754],"study_design_scores_gemma":[0.000001433656,0.00001312334,0.997704,0.000003599159,0.00001199763,0.00004011758,0.0002854847,0.001024778,0.0006295413,0.00003333969,0.0002483909,0.000004327001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999471,0.00004709878,0.00007249418,0.000005386793,9.120668e-7,7.1546e-7,0.0001787335,0.00000607464,0.0002174801],"genre_scores_gemma":[0.999661,0.00002508098,0.00004789473,8.508099e-7,5.076039e-7,0.000001062721,0.0001545405,0.000001163417,0.0001079886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05382043,"threshold_uncertainty_score":0.1070143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166631545241738,"score_gpt":0.2077836002024966,"score_spread":0.1761172847500792,"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."}}