{"id":"W2101354433","doi":"10.1146/annurev.earth.33.092203.122721","title":"BED MATERIAL TRANSPORT AND THE MORPHOLOGY OF ALLUVIAL RIVER CHANNELS","year":2006,"lang":"en","type":"article","venue":"Annual Review of Earth and Planetary Sciences","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":809,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Alluvium; Sediment; Sedimentation; Sediment transport; Channel (broadcasting); Geology; River morphology; Aggradation; Alluvial fan; Geomorphology; Hydrology (agriculture); Fluvial; Geotechnical engineering; Structural basin; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005886995,0.00007709397,0.0002320978,0.00001408185,0.00008523652,0.000002266914,0.0001329708,0.00003227305,0.001139887],"category_scores_gemma":[0.00000634654,0.00004372916,0.00002469121,0.00009156,0.002481979,0.000149635,0.00001271868,0.0000386408,0.000006278136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":2.722833e-7,"about_ca_system_score_gemma":0.000008618612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281628,"about_ca_topic_score_gemma":0.0001524635,"domain_scores_codex":[0.9992724,0.00005376718,0.0002276674,0.0001621025,0.0001541062,0.0001299263],"domain_scores_gemma":[0.9997585,0.00006880257,0.0000836461,0.00005560661,0.000004881259,0.00002856743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000721106,0.0001533455,0.9780407,0.002767481,0.00005405343,0.00005539961,0.002223303,0.0006237642,0.001283545,0.002326272,0.001646595,0.01010444],"study_design_scores_gemma":[0.001445177,0.0009575507,0.9426045,0.0006092231,0.000194065,0.0001383598,0.00007602209,0.0001491741,0.002331555,0.003169414,0.04799388,0.0003311139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839224,0.01365265,0.000004343479,0.0005959699,0.00006005082,0.0001552006,0.0000681999,0.000003544603,0.001537706],"genre_scores_gemma":[0.9835325,0.01558901,0.0001563815,0.0006166309,0.00002244328,0.000001762722,0.00003808268,0.000001071659,0.00004204452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04634728,"threshold_uncertainty_score":0.9997732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005769249923328083,"score_gpt":0.1987788470865967,"score_spread":0.1930095971632687,"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."}}