{"id":"W2053488553","doi":"10.1623/hysj.49.1.53.53994","title":"Hydrological trends and variability in the Liard River basin / Tendances hydrologiques et variabilité dans le basin de la rivière Liard","year":2004,"lang":"fr","type":"article","venue":"Hydrological Sciences Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":221,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Environmental science; Drainage basin; Structural basin; Scale (ratio); Hydrology (agriculture); Physical geography; Geography; Geology; Cartography; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.03320369,0.000600873,0.0007520533,0.0001895263,0.002061616,0.0004159218,0.001706219,0.0007692889,0.0009812284],"category_scores_gemma":[0.001478744,0.0003569132,0.000285265,0.001154328,0.02270374,0.000816841,0.0009446341,0.00222804,0.0000695374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004089012,"about_ca_system_score_gemma":0.0001245347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00238228,"about_ca_topic_score_gemma":0.0005517179,"domain_scores_codex":[0.9850627,0.01029995,0.0008549603,0.001285186,0.000844084,0.001653132],"domain_scores_gemma":[0.9963343,0.002581705,0.000335111,0.0003777904,0.00001776586,0.0003534026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002425252,0.002293444,0.8237771,0.00002749739,0.00009502564,0.001143017,0.01014722,0.08101274,0.0003517968,0.06764977,0.0007517633,0.01250808],"study_design_scores_gemma":[0.001044847,0.001675362,0.5816979,0.00004105184,0.00008621677,0.001123549,0.0004534592,0.004744956,0.00005545561,0.3977024,0.01097213,0.0004026908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8318145,0.0007525659,0.003665366,0.1314946,0.0003306158,0.0002617698,0.00001380577,0.00005685708,0.03160998],"genre_scores_gemma":[0.9847442,0.002078469,0.004824372,0.007829325,0.0002039564,0.00004557559,0.000001624341,0.00001167495,0.0002607863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3300526,"threshold_uncertainty_score":0.999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315323548554934,"score_gpt":0.2606418854922438,"score_spread":0.2474886500066944,"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."}}