{"id":"W7019162732","doi":"","title":"Environmental flow determination in southern Quebec (Canada): actual and future hydrologic and climatic context.","year":2018,"lang":"en","type":"other","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Environmental flow; Hydrology (agriculture); Water cycle; Flow (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003555265,0.0003291809,0.0001756856,0.00113486,0.001178641,0.001181182,0.0009211457,0.0003303952,0.01693475],"category_scores_gemma":[0.001180706,0.0001384978,0.0002880465,0.003629073,0.0003433761,0.0003304903,0.0003697987,0.0003277455,0.001505411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02042784,"about_ca_system_score_gemma":0.03617856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985015,"about_ca_topic_score_gemma":0.9991164,"domain_scores_codex":[0.9997966,0.00001585868,0.000009053583,0.00003265791,0.00008902037,0.00005683801],"domain_scores_gemma":[0.9993625,0.00004019984,0.0000342634,0.00002544596,0.0004380632,0.00009944812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003049284,0.0001239395,0.4282013,0.0004996948,0.0001147003,0.0004535152,0.001171683,0.01254775,0.001589134,0.00539085,0.352469,0.1971336],"study_design_scores_gemma":[0.00005755457,0.00002277733,0.7999949,0.0003615032,0.00005865806,0.0001077174,0.001412013,0.01033873,0.001140138,0.0005228141,0.1859275,0.0000556722],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4143795,0.008359201,0.006184259,0.005875163,0.0002369061,0.0004170879,0.3669796,0.001566572,0.1960017],"genre_scores_gemma":[0.8042729,0.003994612,0.008673659,0.0003707923,0.00004383854,0.0001378207,0.07860557,0.0002862767,0.1036145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02042784,"threshold_uncertainty_score":0.1482151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617673764580503,"score_gpt":0.2845017250278535,"score_spread":0.2583249873820485,"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."}}