{"id":"W4306402931","doi":"10.3390/su142013216","title":"Investigating Terrestrial Water Storage Response to Meteorological Drought in the Canadian Prairies","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Environmental science; Precipitation; Context (archaeology); Climatology; Water storage; Water resources; Climate change; Physical geography; Geography; Meteorology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003536415,0.0002855225,0.0002526861,0.0006832158,0.001080416,0.0007155979,0.0006606329,0.0002608362,0.0007882231],"category_scores_gemma":[0.0009896683,0.0001524164,0.0002964535,0.001997849,0.0004171712,0.000324897,0.0003737921,0.0003084421,0.0000866261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007438452,"about_ca_system_score_gemma":0.007422444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9849894,"about_ca_topic_score_gemma":0.989636,"domain_scores_codex":[0.9997821,0.00001342168,0.000005820561,0.0000493983,0.00008103858,0.00006817276],"domain_scores_gemma":[0.9994802,0.00004642015,0.00004766186,0.00002611159,0.0003390566,0.00006056224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002030297,0.0001224,0.9348158,0.0001158816,0.0003167671,0.0002273623,0.001351172,0.01713,0.01628349,0.0007506152,0.002327016,0.02635643],"study_design_scores_gemma":[0.000004398905,0.00001132153,0.9891647,0.000004501663,0.00002400053,0.00001723552,0.0006638906,0.00874273,0.0004577197,0.00004772338,0.0008477535,0.00001408379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969291,0.0001095379,0.0002503236,0.00007923719,0.000003098027,0.00001380658,0.001464513,0.00001378076,0.001136643],"genre_scores_gemma":[0.9979767,0.0001213532,0.0003427987,0.00002530591,0.000001752384,0.000008438012,0.001062173,0.000004676701,0.0004567207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0150106,"threshold_uncertainty_score":0.05396998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02501476162216312,"score_gpt":0.2444855312496236,"score_spread":0.2194707696274605,"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."}}