{"id":"W7043342921","doi":"","title":"Sediment yield and transport: estimation and climate influence","year":2019,"lang":"en","type":"other","venue":"Institutional Research Information System (Università degli Studi di Brescia)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Sediment; Drainage basin; Deposition (geology); Sediment transport; STREAMS; Land use; Climate change; Surface runoff","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002311412,0.0004868296,0.0006147065,0.002939941,0.001148429,0.0002725243,0.0004919198,0.0005137449,0.00009240246],"category_scores_gemma":[0.0002432055,0.0005208065,0.00008800153,0.001167154,0.0009833914,0.003300129,0.000510045,0.0007325765,0.004588728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013952,"about_ca_system_score_gemma":0.0008972077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001220129,"about_ca_topic_score_gemma":0.0002744277,"domain_scores_codex":[0.9947551,0.0001828589,0.0006338209,0.0005638794,0.002948823,0.0009154729],"domain_scores_gemma":[0.997431,0.0002374325,0.0005345222,0.0005349212,0.000838341,0.0004237625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00195417,0.0003406608,0.04479231,0.02799829,0.002336127,0.0004825216,0.01230626,0.01654627,0.0001769159,0.5870013,0.2808844,0.02518077],"study_design_scores_gemma":[0.006893778,0.0004839651,0.1277004,0.0127947,0.0003181598,0.0005307077,0.01629549,0.01801451,0.00003240477,0.00004341222,0.8147416,0.002150791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0449754,0.00100614,0.00306428,0.0003123668,0.0006470937,0.005154138,0.003899013,0.0009458818,0.9399957],"genre_scores_gemma":[0.9825426,0.0002930577,0.0004230122,0.00005337696,0.0001267481,0.00009724727,0.0005653208,0.0001703501,0.01572822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9375673,"threshold_uncertainty_score":0.9997243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04713238196849989,"score_gpt":0.301316778738397,"score_spread":0.2541843967698971,"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."}}