{"id":"W2795003194","doi":"10.1016/j.gca.2018.03.015","title":"The silicon isotopic composition of fine-grained river sediments and its relation to climate and lithology","year":2018,"lang":"en","type":"article","venue":"Geochimica et Cosmochimica Acta","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"FP7 People: Marie-Curie Actions; European Research Council; Fonds De La Recherche Scientifique - FNRS; Institut national de la recherche scientifique","keywords":"Weathering; Geology; Drainage basin; Lithology; Silt; Geochemistry; Sediment; Continental crust; Crust; Soil water; Earth science; Hydrology (agriculture); Geomorphology; Soil science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000074724,0.00008880274,0.00009758048,0.0005382301,0.0001960656,0.000308762,0.0001088378,0.0001752504,0.0008561547],"category_scores_gemma":[0.0001894398,0.0001941583,0.0001042255,0.0004389514,0.0002125596,0.0002118771,0.0001670371,0.000081456,0.000125873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001641479,"about_ca_system_score_gemma":0.0001388326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005493894,"about_ca_topic_score_gemma":0.009969728,"domain_scores_codex":[0.9999751,0.000002411927,0.000002958536,0.000009786077,0.000004391287,0.000005284527],"domain_scores_gemma":[0.9999324,0.00001825056,0.00001640694,0.000006022862,0.00001699866,0.000009827333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008726266,0.00005277196,0.5303129,0.00005869613,0.00009869711,0.0002242091,0.0003437941,0.001364728,0.4526892,0.0003344953,0.00008808057,0.01355977],"study_design_scores_gemma":[0.000007355774,0.00005083884,0.9814343,0.000002256456,0.00001593208,0.000108906,0.0001495421,0.001060901,0.01658847,0.0001196103,0.000455867,0.000005940922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993064,0.00006306598,0.0001234779,0.000005825809,0.000001068266,7.432341e-7,0.0001517076,0.00000340497,0.0003442935],"genre_scores_gemma":[0.9992576,0.00005335002,0.00008231921,0.00000383683,0.000001100319,0.000001016523,0.0001435978,0.000002071264,0.0004550521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005493894,"threshold_uncertainty_score":0.0109238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009577537294713856,"score_gpt":0.2287244125282485,"score_spread":0.2191468752335347,"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."}}