{"id":"W2076927585","doi":"10.1016/j.catena.2006.01.003","title":"Relationship between suspended sediment load, channel geometry and land area increment in the Yellow River Delta","year":2006,"lang":"en","type":"article","venue":"CATENA","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"River delta; Delta; Hydrology (agriculture); Channel (broadcasting); Sediment; Erosion; Sedimentary budget; Bank erosion; Environmental science; Geology; River mouth; Sediment transport; Geomorphology; Geotechnical engineering","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":[0.00038744,0.00006881592,0.00007563302,0.00005322641,0.0001341925,0.00004142547,0.0001025608,0.00004482738,0.000250837],"category_scores_gemma":[0.00003761998,0.00003953212,0.00001350894,0.0002185025,0.00005906001,0.0001170498,0.00000890069,0.00009486217,0.00007176822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004296927,"about_ca_system_score_gemma":0.00001605506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004091226,"about_ca_topic_score_gemma":0.002445192,"domain_scores_codex":[0.9994049,0.00004056148,0.0001365448,0.0001067499,0.000155301,0.0001559422],"domain_scores_gemma":[0.9996058,0.000227513,0.00003530815,0.00007675788,0.0000225254,0.00003212049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004103911,0.000005791697,0.9983073,0.000009680119,0.000001632955,0.000002558666,0.0001809829,0.0005082298,1.288399e-7,0.00008251238,0.0004630392,0.0004340424],"study_design_scores_gemma":[0.0001768502,0.00003668609,0.9847269,0.000005146541,0.000007877898,0.000004041183,0.0001118216,0.0004796687,0.000009372714,0.0124089,0.001966821,0.00006589377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913333,0.0006020963,0.00004152908,0.0009583873,0.00003066364,0.000118603,0.00003439694,0.00001113702,0.006869882],"genre_scores_gemma":[0.9993589,0.00001671695,0.00006868892,0.0001322443,0.00004767219,0.000001862389,0.0002376737,8.254125e-7,0.0001354078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01358038,"threshold_uncertainty_score":0.6184737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03849910225263176,"score_gpt":0.2181044084259633,"score_spread":0.1796053061733315,"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."}}