{"id":"W2931193063","doi":"10.1002/hyp.13451","title":"Assessing issues associated with a time‐integrated fluvial fine sediment sampler","year":2019,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; University of Manitoba","funders":"","keywords":"Fluvial; Inlet; Sediment; Acoustic Doppler current profiler; Environmental science; Hydrology (agriculture); Acoustic Doppler velocimetry; Particle-size distribution; Sampling (signal processing); Geology; Current (fluid); Particle size; Oceanography; Geomorphology; Laser Doppler velocimetry; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004087313,0.0003666584,0.0004538867,0.00004477327,0.0002265634,0.00009309019,0.000389081,0.0002780102,0.03613874],"category_scores_gemma":[0.000231776,0.0002386107,0.00005474461,0.0006901969,0.0004163362,0.0007421109,0.0000906311,0.0003706487,0.002676809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007804047,"about_ca_system_score_gemma":0.00006467148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006590839,"about_ca_topic_score_gemma":0.000102891,"domain_scores_codex":[0.9976221,0.0001067383,0.0003462742,0.0007535493,0.0005376885,0.0006336898],"domain_scores_gemma":[0.9991251,0.0002752064,0.0001602278,0.0002355615,0.00005044401,0.0001534305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001121744,0.003108708,0.9186382,0.0002387222,0.0003911266,0.000305147,0.001093939,0.02952995,0.0356557,0.000102667,0.006147277,0.003666884],"study_design_scores_gemma":[0.01822638,0.0160985,0.4860508,0.001250935,0.00122988,0.0002928063,0.0005583498,0.03978314,0.1060385,0.01414391,0.3080281,0.008298617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981896,0.0001749636,0.0002827353,0.0009526128,0.00005883543,0.0003818291,0.00001087682,0.0003458189,0.01589628],"genre_scores_gemma":[0.9952962,0.00001737124,0.0005474681,0.001046091,0.00004050742,0.00004690779,0.0001637486,0.00002702218,0.002814634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4325873,"threshold_uncertainty_score":0.9980997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616164887674955,"score_gpt":0.2431284693980856,"score_spread":0.226966820521336,"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."}}