{"id":"W2082492974","doi":"10.1061/(asce)he.1943-5584.0001106","title":"Hydrologic Memory Patterns Assessment over a Drought-Prone Canadian Prairies Catchment","year":2014,"lang":"en","type":"article","venue":"Journal of Hydrologic Engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Atlantic Canada Opportunities Agency; National Aeronautics and Space Administration","keywords":"Environmental science; Drainage basin; Hydrology (agriculture); Water storage; Infiltration (HVAC); Surface runoff; Water content; Hydrological modelling; Climatology; Geology; Geography; Ecology; Meteorology; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.0009969037,0.0002457568,0.0003878518,0.0001635675,0.0001633196,0.00002702365,0.0003682853,0.0001175493,0.0004445232],"category_scores_gemma":[0.00007601665,0.0001891003,0.0001180668,0.0001306596,0.00009544397,0.0002544358,0.0001939997,0.0004034699,0.00005899942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003456672,"about_ca_system_score_gemma":0.00001681351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003044854,"about_ca_topic_score_gemma":0.00274817,"domain_scores_codex":[0.998358,0.0000806522,0.0004420067,0.0002377107,0.0003208017,0.000560887],"domain_scores_gemma":[0.999247,0.00008094603,0.0002200691,0.0002175074,0.00001150238,0.000223035],"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":[0.00002191318,0.00009233013,0.4351597,0.00003700946,0.0001976657,0.0002374915,0.0004649989,0.5584149,0.001039219,0.0002378908,0.003199587,0.0008973014],"study_design_scores_gemma":[0.002271339,0.002168369,0.7345716,0.00009208117,0.0002985093,0.0003328225,0.0001465155,0.1867219,0.000812466,0.001872971,0.06964974,0.00106166],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984741,0.00007949339,0.004376885,0.003535923,0.0005229927,0.0001566586,0.000001989349,0.00004158344,0.006543441],"genre_scores_gemma":[0.9971951,0.00005686364,0.001284012,0.001090632,0.0001494439,0.00001350631,0.000002054391,0.00001541105,0.0001929476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.371693,"threshold_uncertainty_score":0.7711287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005719358176766959,"score_gpt":0.2064558896452945,"score_spread":0.2007365314685276,"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."}}