{"id":"W2253478293","doi":"10.1002/2015gc006089","title":"Magnetic properties of sediments of the <scp>R</scp>ed <scp>R</scp>iver: Effect of sorting on the source‐to‐sink pathway and its implications for environmental reconstruction","year":2016,"lang":"en","type":"article","venue":"Geochemistry Geophysics Geosystems","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"State Key Laboratory of Estuarine and Coastal Research; State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center; National Natural Science Foundation of China","keywords":"Geology; Sedimentary depositional environment; Sorting; Sink (geography); Sedimentary rock; Sediment; Magnetite; Hematite; Grain size; Environmental magnetism; Ferrimagnetism; Geochemistry; Mineralogy; Geomorphology; Magnetization; Paleontology; Magnetic field","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005089552,0.0001791081,0.0003196237,0.00003273882,0.000242515,0.000009292536,0.0003244003,0.0001400622,0.00001701768],"category_scores_gemma":[0.0004772918,0.00009497698,0.0001089388,0.0001205395,0.0003589282,0.00005701419,0.0000557336,0.0001291177,0.00002205794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003540655,"about_ca_system_score_gemma":0.00004447197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004632315,"about_ca_topic_score_gemma":0.000011773,"domain_scores_codex":[0.998588,0.0001912448,0.0003730782,0.0002948015,0.0002070056,0.000345889],"domain_scores_gemma":[0.997238,0.001895292,0.0003696737,0.000360505,0.00006374563,0.00007271428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001638729,0.00002109711,0.7638848,0.0003849237,0.00004909348,1.2918e-7,0.0002468986,0.00005154776,0.232964,0.00001866871,0.00004305717,0.002319312],"study_design_scores_gemma":[0.0006998198,0.0004882681,0.1753804,0.0003838869,0.00006240061,0.00004349218,0.0007771151,0.0005702353,0.8210325,0.0003166725,0.0001904115,0.00005477433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969956,0.0006519599,0.000007474513,0.00008484109,0.000114071,0.0007919041,0.0003520612,0.000009672807,0.0009924652],"genre_scores_gemma":[0.9989972,0.00003084876,0.000008159624,0.00001222804,0.00005400248,0.00004040393,0.00002489964,0.000005453354,0.000826853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5885044,"threshold_uncertainty_score":0.3873049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01077658866075993,"score_gpt":0.1925987035549177,"score_spread":0.1818221148941578,"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."}}