{"id":"W4324145767","doi":"10.1002/esp.5572","title":"Annual and decadal net morphological displacement of a small gravel‐bed channel","year":2023,"lang":"en","type":"article","venue":"Earth Surface Processes and Landforms","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Channel (broadcasting); Sediment; Hydrology (agriculture); Erosion; Deposition (geology); Geology; Sediment transport; STREAMS; Elevation (ballistics); Physical geography; Environmental science; Geomorphology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002474057,0.0001502204,0.0002056603,0.00002453405,0.0001255981,0.00001132042,0.00009913883,0.00009377275,0.0003049267],"category_scores_gemma":[0.00002284798,0.0001002985,0.00001914385,0.0002954047,0.0002479768,0.0001572471,0.00009756432,0.00009914644,0.00003459274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002862636,"about_ca_system_score_gemma":0.00001412457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001162354,"about_ca_topic_score_gemma":0.0003535773,"domain_scores_codex":[0.9990333,0.00001180326,0.000190469,0.0002982984,0.0001636236,0.0003024537],"domain_scores_gemma":[0.9996756,0.00005464919,0.00006121011,0.0000810417,0.0000141327,0.0001133266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003752872,0.0001700663,0.985865,0.0005524288,0.00005060378,0.00007586785,0.0041053,0.004230549,0.0018687,0.00004763608,0.000366692,0.002291859],"study_design_scores_gemma":[0.002711225,0.001367535,0.9589532,0.00009763235,0.00008153513,0.00009125879,0.001626686,0.004732653,0.01624122,0.002343388,0.01098275,0.0007709152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985206,0.0003698423,0.0002035726,0.0002780299,0.00003137985,0.0001619715,0.00007132174,0.00005681534,0.0003065224],"genre_scores_gemma":[0.9983756,0.0006562942,0.0002050962,0.0001060218,0.00001073355,0.000009678896,0.00003530038,0.000008028178,0.0005932712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02691181,"threshold_uncertainty_score":0.4090055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01209669787416852,"score_gpt":0.2162682873308336,"score_spread":0.204171589456665,"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."}}