{"id":"W2573613785","doi":"","title":"Exploring power storage profiles for vehicle to grid systems","year":2015,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Power grid; Grid; Power (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002755049,0.000151174,0.0001468614,0.0001460116,0.00007198733,0.0001228294,0.0002055912,0.00006412161,0.0000451663],"category_scores_gemma":[0.0002071887,0.0001477672,0.00003781493,0.0002520167,0.00001992337,0.0002331105,0.00001718618,0.000158347,0.000218221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001902891,"about_ca_system_score_gemma":0.000106108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001297841,"about_ca_topic_score_gemma":0.000007711734,"domain_scores_codex":[0.9987862,0.00001743194,0.0002815066,0.000216536,0.0004349239,0.0002633864],"domain_scores_gemma":[0.9990304,0.0000798854,0.00003156209,0.0001135389,0.0005747763,0.000169857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008562791,0.00003719155,0.00002147868,0.00003101432,0.00002322503,0.000002141428,0.0007361792,0.4267969,0.0100095,0.5269895,0.005761142,0.02950617],"study_design_scores_gemma":[0.00008040065,0.0005429967,0.0003768999,0.0001007363,0.000007471702,0.000004919678,0.001385558,0.840526,0.107253,0.03240974,0.01673384,0.0005783906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6217816,0.0002085249,0.3443054,0.001370866,0.005866588,0.001793797,0.0002928774,0.0007401446,0.02364019],"genre_scores_gemma":[0.9983131,0.000007400377,0.0008040679,0.0001021236,0.0004380474,0.0002220145,0.00001568669,0.00002339306,0.00007421643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4945797,"threshold_uncertainty_score":0.6025773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2399476031522043,"score_gpt":0.3155404294514312,"score_spread":0.07559282629922695,"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."}}