{"id":"W4289525768","doi":"10.3390/su14159411","title":"System Thinking Approach toward Reclamation of Regional Water Management under Changing Climate Conditions","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Downscaling; Environmental science; Precipitation; Climate change; Streamflow; Land reclamation; Sustainability; Climatology; Water resources; Water balance; Meteorology; Water resource management; Hydrology (agriculture); Drainage basin; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005189414,0.0006743975,0.0004842883,0.0005631499,0.0005266123,0.001269657,0.0009665232,0.0007140876,0.001804143],"category_scores_gemma":[0.0005978178,0.0002786657,0.000883005,0.0005692271,0.0006951665,0.0009494395,0.001009675,0.0008499839,0.0001360099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001395261,"about_ca_system_score_gemma":0.001824614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01283523,"about_ca_topic_score_gemma":0.01118089,"domain_scores_codex":[0.9997995,0.00008870377,0.000008479851,0.00005075839,0.00003159111,0.00002090214],"domain_scores_gemma":[0.9998536,0.00005611484,0.0000273498,0.000008405149,0.00003962933,0.00001495048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001295721,0.00002178694,0.001222324,0.00005811165,0.00006854752,0.0001103523,0.0001631352,0.948271,0.000834665,0.03945486,0.0004812613,0.009300996],"study_design_scores_gemma":[0.000009921521,0.00002372277,0.0002969131,0.00001022591,0.00002118431,0.00001292571,0.00009150299,0.9749711,0.0001753649,0.02280776,0.001572014,0.000007488757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05919848,0.0004487517,0.9162934,0.001244881,0.00008814512,0.00008777099,0.0002296516,0.0002670122,0.02214196],"genre_scores_gemma":[0.8620461,0.0006157316,0.132807,0.0001368062,0.00008062224,0.0002519934,0.0001628811,0.00005022671,0.003848661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01283523,"threshold_uncertainty_score":0.02552104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293269185635527,"score_gpt":0.2317363157760254,"score_spread":0.2188036239196701,"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."}}