{"id":"W2160267456","doi":"10.1002/rra.2772","title":"Hydrologically Based Environmental Flow Methods Applied to Rivers in the Maritime Provinces (Canada)","year":2014,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université de Moncton","funders":"","keywords":"Environmental flow; Baseflow; Environmental science; Streamflow; Flow (mathematics); Hydrology (agriculture); Biota; Water resources; Water flow; Water resource management; Geography; Ecology; Environmental engineering; Geology; Drainage basin","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":[],"consensus_categories":[],"category_scores_codex":[0.001040322,0.0000681579,0.00007608283,0.00003410191,0.0004554787,0.00001802265,0.0003243757,0.00002897408,0.000324248],"category_scores_gemma":[0.00002718318,0.00004933147,0.000009296884,0.0002060232,0.0005456218,0.00003286165,0.000302466,0.0001510142,0.0001171086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000904843,"about_ca_system_score_gemma":0.00001062512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003996114,"about_ca_topic_score_gemma":0.0769892,"domain_scores_codex":[0.9989062,0.0001828604,0.00008405647,0.000284003,0.0002672973,0.0002755918],"domain_scores_gemma":[0.9993194,0.0003982763,0.0000140802,0.0001977327,0.000002154911,0.0000683863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001816768,0.001341426,0.4382617,0.00004569131,0.00005938038,0.00001342542,0.001309299,0.005873404,0.003109426,0.04530775,0.1662113,0.3382855],"study_design_scores_gemma":[0.0002069248,0.00009737437,0.7030779,0.000001053196,0.000004056632,3.553426e-7,0.0002034437,0.002575772,0.00006466566,0.01074964,0.2829267,0.00009207054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3533534,0.00004748446,0.1340061,0.05418845,0.00003795274,0.008387634,0.0000687953,0.00008561218,0.4498246],"genre_scores_gemma":[0.9823331,0.00001657378,0.01378005,0.00248836,0.00001561801,0.001080632,0.000008755764,0.000003563934,0.0002733345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6289797,"threshold_uncertainty_score":0.9398534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01903749073319951,"score_gpt":0.2920347489524642,"score_spread":0.2729972582192647,"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."}}