{"id":"W4366254489","doi":"10.1016/j.ecoleng.2023.106974","title":"Ecohydraulic modelling to evaluate cascade dam construction impact and support fish habitat restoration","year":2023,"lang":"en","type":"article","venue":"Ecological Engineering","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China","keywords":"Habitat; Hydropower; Restoration ecology; Habitat fragmentation; Environmental science; Fishery; Fragmentation (computing); Cascade; Ecology; Biology","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":[0.0003049622,0.0001075665,0.000123237,0.00006230988,0.0001343749,0.00001971582,0.00006529998,0.00006803076,0.0004779969],"category_scores_gemma":[0.000108733,0.00009456878,0.00002663873,0.0002581707,0.00004412853,0.0001546708,0.0002071443,0.00009301722,0.0004090517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282859,"about_ca_system_score_gemma":0.000002572039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008772099,"about_ca_topic_score_gemma":0.0001313586,"domain_scores_codex":[0.9992399,0.00001664663,0.0001317785,0.0002387781,0.0001020391,0.000270901],"domain_scores_gemma":[0.9997429,0.00007203952,0.00002266893,0.00007770889,0.000004079356,0.00008055637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000005590511,0.000009256356,0.02470617,0.000005655574,0.00001361993,0.00001407789,0.00009352635,0.9614809,0.0002904958,0.00004024142,0.01295286,0.0003876109],"study_design_scores_gemma":[0.0001247348,0.0001457872,0.6632806,0.000002635516,0.0000111057,0.000005595507,0.00002473322,0.3333892,0.00004253006,0.000164429,0.002686853,0.0001218327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924902,0.000001851158,0.00382954,0.0009209217,0.0001968057,0.0002194372,0.000002881277,0.0001995304,0.002138842],"genre_scores_gemma":[0.9976008,0.00003544544,0.001725796,0.0002925354,0.0000296542,0.00005513179,0.000009934666,0.00000777651,0.0002429607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6385744,"threshold_uncertainty_score":0.5257668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830772611029489,"score_gpt":0.2433756446034229,"score_spread":0.225067918493128,"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."}}