{"id":"W4221018319","doi":"10.5194/esurf-10-247-2022","title":"Morphodynamic styles: characterising the behaviour of gravel-bed rivers using a novel, quantitative index","year":2022,"lang":"en","type":"article","venue":"Earth Surface Dynamics","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Government of Canada","keywords":"Beach morphodynamics; Channel (broadcasting); Sediment transport; Sediment; Geology; Fluvial; Similarity (geometry); Shear stress; Bedform; Hydrology (agriculture); Geotechnical engineering; Soil science; Geomorphology; Computer science; Mechanics; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004292751,0.000164001,0.0002042069,0.00003580448,0.0005050859,0.00001311902,0.0003569877,0.00005432467,0.001329112],"category_scores_gemma":[0.00001013573,0.000146286,0.00007518807,0.0004080927,0.0003936063,0.0001859964,0.000177629,0.0003427879,0.000013059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001222454,"about_ca_system_score_gemma":0.00004049232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138765,"about_ca_topic_score_gemma":0.0007764764,"domain_scores_codex":[0.9986402,0.00009878782,0.0002743998,0.0002941098,0.0004010817,0.0002914553],"domain_scores_gemma":[0.9994074,0.00008066859,0.000216478,0.0002347039,0.00001306808,0.00004770189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001025986,0.000149256,0.5195211,0.000009543322,0.00003362544,0.00001129732,0.002060167,0.4552862,0.02235327,0.0003482334,0.000002083851,0.0001226146],"study_design_scores_gemma":[0.0005695302,0.0002094818,0.3085371,0.00001284187,0.00007009067,0.00002565248,0.003197471,0.6863273,0.0004707198,0.0001260746,0.0001571976,0.0002964967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892277,0.00002959247,0.009780865,0.0001215617,0.0001333977,0.0002381664,0.0001984999,0.00002875261,0.0002415313],"genre_scores_gemma":[0.9965387,0.00001075926,0.00312258,0.0001035465,0.000003353853,0.000004845338,0.00006788968,0.00001892591,0.000129402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2310411,"threshold_uncertainty_score":0.9995838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151870113697731,"score_gpt":0.2369244388102405,"score_spread":0.2217374274404674,"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."}}