{"id":"W2513606550","doi":"10.1126/science.aah4926","title":"How dams can go with the flow","year":2016,"lang":"en","type":"article","venue":"Science","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":242,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Jiangxi Province; Canada Research Chairs","keywords":"Flow (mathematics); Environmental science; Mechanics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002361651,0.0004947683,0.0003573501,0.000946874,0.002237991,0.00492001,0.0008889494,0.003507109,0.03514761],"category_scores_gemma":[0.0109818,0.0004407411,0.0007608065,0.0007946994,0.006348534,0.009970716,0.002998277,0.002282407,0.004625141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246651,"about_ca_system_score_gemma":0.002292542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009946557,"about_ca_topic_score_gemma":0.02107694,"domain_scores_codex":[0.998714,0.0005359085,0.00004251862,0.000197642,0.0002844952,0.0002255034],"domain_scores_gemma":[0.9971077,0.0009981078,0.0002788811,0.0005881664,0.0004886351,0.0005385775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001227724,0.0001763313,0.01959256,0.0003158923,0.0002536394,0.0005362454,0.00378292,0.01095675,0.003120974,0.6945819,0.08555504,0.1810051],"study_design_scores_gemma":[0.00003117232,0.00006750761,0.008501992,0.0002057097,0.0001443138,0.0001702604,0.003656023,0.003028118,0.0007545705,0.7569239,0.2264179,0.00009853203],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.115119,0.006371575,0.09239693,0.1799083,0.005805016,0.0001026742,0.0009926851,0.001736708,0.5975672],"genre_scores_gemma":[0.8851672,0.004381316,0.01772129,0.01222987,0.0008225684,0.00009443172,0.0002344655,0.0004600471,0.07888872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03514761,"threshold_uncertainty_score":0.1175805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005785447221071244,"score_gpt":0.1864829251023664,"score_spread":0.1806974778812951,"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."}}