{"id":"W2740543750","doi":"10.24963/ijcai.2017/52","title":"Multiple-Profile Prediction-of-Use Games","year":2017,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convexity; Computer science; Incentive; Tariff; Electricity; Operations research; Mathematical optimization; Microeconomics; Economics; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003921475,0.001911517,0.002158804,0.0005802001,0.000703438,0.001976255,0.003232034,0.002534088,0.005307294],"category_scores_gemma":[0.01905739,0.0006043614,0.001013831,0.0008245363,0.001213795,0.00368653,0.002048212,0.003234487,0.0005238596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676851,"about_ca_system_score_gemma":0.0011872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004444871,"about_ca_topic_score_gemma":0.005886159,"domain_scores_codex":[0.9958578,0.002370107,0.0001767311,0.0007002832,0.0004857328,0.0004092988],"domain_scores_gemma":[0.9882318,0.008602581,0.001323733,0.0007192134,0.0005618975,0.000560629],"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":[0.0007558901,0.0003739979,0.006816701,0.0002144548,0.0001970229,0.0009287637,0.0006563505,0.5751532,0.002066815,0.3685605,0.007115606,0.03716071],"study_design_scores_gemma":[0.00008053971,0.00007567341,0.0005337701,0.00001528783,0.00002051747,0.00009917727,0.00007363435,0.8912172,0.0003442897,0.1062573,0.00124726,0.0000353704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1714535,0.0004109889,0.7975801,0.003053813,0.0001896701,0.0005843536,0.00178885,0.0004139941,0.02452487],"genre_scores_gemma":[0.9585387,0.0001908761,0.03417134,0.0003251309,0.00005862726,0.0003507039,0.0002935934,0.00004079165,0.006030366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005307294,"threshold_uncertainty_score":0.02073902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132994720559067,"score_gpt":0.2074628489496858,"score_spread":0.1861329017440952,"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."}}