{"id":"W2751062877","doi":"","title":"Estimating Continental Energy Storage from CMIP5 Simulations","year":2015,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Environmental science; Computer science","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":[0.0008693521,0.001110298,0.0009064659,0.00108698,0.0008192187,0.001198903,0.001234051,0.001905464,0.003787159],"category_scores_gemma":[0.003252981,0.0009741599,0.001547463,0.002655947,0.0005954431,0.001775164,0.0006471071,0.001022305,0.0008849495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002449592,"about_ca_system_score_gemma":0.00167645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1229279,"about_ca_topic_score_gemma":0.06683746,"domain_scores_codex":[0.9997532,0.00006852754,0.00001743338,0.00006290257,0.00004621098,0.00005178495],"domain_scores_gemma":[0.9990699,0.0004146349,0.00005358069,0.0001636329,0.0002353388,0.00006294766],"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":[0.00009407878,0.00001832953,0.004828751,0.00005290242,0.00008037758,0.00004585331,0.00001645054,0.9898812,0.0004762237,0.0005650722,0.001396983,0.002543588],"study_design_scores_gemma":[0.00005256535,0.00002274315,0.006551642,0.00002535817,0.00005125717,0.00001279713,0.0000417035,0.9890808,0.0019854,0.0007268385,0.001416003,0.00003290877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332138,0.0006181666,0.0131788,0.0008406697,0.0001474946,0.00007253901,0.0270906,0.00177722,0.0230607],"genre_scores_gemma":[0.9883794,0.0001214469,0.004195212,0.0000694581,0.0000205199,0.00005199092,0.006136205,0.0001570761,0.0008686964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1229279,"threshold_uncertainty_score":0.2444248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422198007471446,"score_gpt":0.2351198555625036,"score_spread":0.2108978754877891,"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."}}