{"id":"W2127797760","doi":"10.1002/2012wr013441","title":"Comparison of Lake Ontario and St. Lawrence River hydrologic droughts and their relationship to climate indices","year":2014,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrology (agriculture); Environmental science; Climatology; Climate change; Hydrological modelling; Physical geography; Geology; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002259614,0.0001522756,0.0001875875,0.0009587019,0.0005277387,0.0005389507,0.0001654813,0.0001468075,0.0007334184],"category_scores_gemma":[0.001326387,0.0001001144,0.0001794205,0.002236037,0.000255082,0.0002593783,0.0003711559,0.0001480495,0.0000641037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004153121,"about_ca_system_score_gemma":0.002609695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7484378,"about_ca_topic_score_gemma":0.9175479,"domain_scores_codex":[0.9997563,0.00002158424,0.00001652763,0.00004374272,0.00008972317,0.00007214652],"domain_scores_gemma":[0.9991247,0.0001225288,0.0002775275,0.0000234358,0.0003054584,0.0001463121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000860861,0.000006084259,0.9961738,0.00001053341,0.00004466902,0.00002963785,0.0003593437,0.0001671129,0.0005537684,0.00006929057,0.0001820473,0.002317702],"study_design_scores_gemma":[6.868029e-7,0.000004946873,0.9995758,7.70342e-7,0.000003193067,0.000005203517,0.0001331479,0.0001042729,0.00002066161,0.000004967726,0.0001452749,0.000001109744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978927,0.00008311624,0.00006542759,0.00002925665,0.000001593946,0.000004258525,0.0007169603,0.000004132821,0.001202607],"genre_scores_gemma":[0.9986142,0.00005710654,0.00006019206,0.00000555025,0.000001863368,0.000005413557,0.0008020111,0.000001348621,0.0004522726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7484378,"threshold_uncertainty_score":0.5060874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04801753346829443,"score_gpt":0.3160064131634996,"score_spread":0.2679888796952052,"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."}}