{"id":"W4307992589","doi":"10.1061/(asce)hy.1943-7900.0002033","title":"A Unit-Scale Framework for Designing Step-Pool Sequences","year":2022,"lang":"en","type":"article","venue":"Journal of Hydraulic Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Flexibility (engineering); Hydraulics; Scale (ratio); Computer science; Stream restoration; STREAMS; Engineering; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005198455,0.00009893713,0.0001673842,0.00006336697,0.0001697772,0.000008319229,0.0002827094,0.00004094806,0.0008985623],"category_scores_gemma":[0.00004500848,0.0000930617,0.00008551976,0.0002073416,0.00002978228,0.0002014916,0.00004088107,0.0003632404,0.000005429425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006499114,"about_ca_system_score_gemma":0.0000205239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000505272,"about_ca_topic_score_gemma":0.000002073122,"domain_scores_codex":[0.9991056,0.00002024886,0.0002800518,0.00010826,0.0002668847,0.0002189271],"domain_scores_gemma":[0.9995437,0.0001563496,0.0001350112,0.00007562135,0.000008358787,0.00008099071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004422089,0.00004681337,0.006785788,0.00002384822,0.00003019978,0.00004904791,0.000699072,0.9731131,0.0177707,0.00009507126,0.0003662762,0.0009758816],"study_design_scores_gemma":[0.004376269,0.00511688,0.02190745,0.0004005055,0.0005468522,0.002332265,0.003083163,0.2123744,0.1749541,0.0133015,0.5594186,0.002187966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4836302,0.0003472277,0.5149718,0.0004075122,0.0003234126,0.0001021324,0.000002778581,0.00002529904,0.0001896149],"genre_scores_gemma":[0.9352328,0.00001850135,0.06436987,0.0002199178,0.00008376089,0.00001853897,0.000001070105,0.00001385818,0.00004173613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7607386,"threshold_uncertainty_score":0.9838628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175006246890229,"score_gpt":0.2281903315707235,"score_spread":0.2164402691018213,"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."}}