{"id":"W2272097575","doi":"","title":"Average Annual Water Surplus in Ontario","year":2010,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Water balance; Hydrology (agriculture); Environmental science; Geography; Physical geography; Resource (disambiguation); Water resource management; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001163203,0.0001163786,0.0001886526,0.001210119,0.001023002,0.0007126728,0.0002365953,0.00009860726,0.003022749],"category_scores_gemma":[0.0004861066,0.0001231226,0.0001808644,0.002650474,0.0002537893,0.0002610161,0.0003794558,0.0001076134,0.0002831157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01531567,"about_ca_system_score_gemma":0.01011683,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840067,"about_ca_topic_score_gemma":0.9957328,"domain_scores_codex":[0.9998497,0.000005639323,0.00001023545,0.000024552,0.00006285258,0.00004702065],"domain_scores_gemma":[0.999626,0.00001966553,0.00006168661,0.00001347685,0.0002014453,0.00007773854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004168029,0.00002602515,0.8912873,0.0003563925,0.0001733557,0.0006905561,0.005252314,0.005213049,0.005628445,0.002497031,0.03298678,0.05547193],"study_design_scores_gemma":[0.00000804336,0.00001209739,0.977254,0.00001616325,0.00001322981,0.00005960039,0.0007755645,0.0006511103,0.000177583,0.00009106914,0.02093127,0.00001024434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382635,0.0006849307,0.0003016043,0.0004505187,0.00001334964,0.00003094453,0.03302315,0.00009723967,0.02713472],"genre_scores_gemma":[0.9822183,0.0005256128,0.0003608418,0.00003090192,0.000004846908,0.00002496044,0.007292268,0.00001431722,0.009528069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0159933,"threshold_uncertainty_score":0.1111234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939857844172955,"score_gpt":0.1891125884464039,"score_spread":0.1697140100046743,"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."}}