{"id":"W4411146469","doi":"10.1130/abs/2025cd-410156","title":"RIVERBED GRAIN SIZE CHANGES FOLLOWING A SEDIMENT PULSE MEASURED USING UAV IMAGERY AND COMPUTER VISION","year":2025,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sediment; Grain size; Computer vision; Pulse (music); Geology; Artificial intelligence; Remote sensing; Computer science; Geomorphology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005575319,0.00009903971,0.0001724168,0.000559512,0.0002545548,0.0002990062,0.0001673365,0.0002504939,0.001389449],"category_scores_gemma":[0.000310387,0.0001121025,0.0001328421,0.0005662016,0.0001533602,0.0002357087,0.0001478338,0.0002455616,0.0002581528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002917759,"about_ca_system_score_gemma":0.0001664917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009770225,"about_ca_topic_score_gemma":0.0170173,"domain_scores_codex":[0.999956,0.000002027561,0.000002589997,0.00001400062,0.00001322146,0.00001214276],"domain_scores_gemma":[0.9997742,0.000045304,0.00004203972,0.00001609583,0.00007833751,0.00004412827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002594158,0.0005750395,0.453321,0.0001437155,0.0001784147,0.00115228,0.0006609713,0.02395084,0.4571541,0.000317926,0.002754441,0.05719704],"study_design_scores_gemma":[0.00001303231,0.0001287118,0.961571,0.00000455396,0.00002398338,0.0001172907,0.0001764411,0.0245567,0.01289192,0.00003930421,0.0004616464,0.00001553195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980984,0.00002223096,0.0007204529,0.00001133288,0.000008907165,0.00000514183,0.0004012528,0.00006738256,0.0006648578],"genre_scores_gemma":[0.9989765,0.00001455779,0.0004414854,0.000005905609,0.000002074227,0.000003744295,0.0002822148,0.000006289805,0.0002672943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009770225,"threshold_uncertainty_score":0.0194267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337332121540256,"score_gpt":0.2466488614283572,"score_spread":0.2332755402129546,"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."}}