{"id":"W1971252745","doi":"10.1109/med.2014.6961476","title":"Collective target tracking mean field control for electric space heaters","year":2014,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Trajectory; SIGNAL (programming language); Field (mathematics); Tracking (education); Computer science; Control theory (sociology); Point (geometry); Mathematical optimization; Control (management); Mathematics; Physics; Geometry","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":[0.0001533302,0.0001238138,0.000154082,0.0001024667,0.00005376683,0.00003287303,0.0000940582,0.00004620409,0.00006415672],"category_scores_gemma":[0.00005246057,0.0001199818,0.00005994994,0.0001633408,0.000003940363,0.00006620101,0.000007760008,0.00006241076,0.00001366239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001394815,"about_ca_system_score_gemma":0.000009699848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000234942,"about_ca_topic_score_gemma":0.00003649668,"domain_scores_codex":[0.9993488,0.00001560457,0.0001163213,0.0001468922,0.00008317688,0.0002891977],"domain_scores_gemma":[0.9995505,0.0002168239,0.00001232624,0.000143425,0.00002767172,0.00004920854],"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":[0.0000644898,0.00002526261,0.001095588,0.00007475088,0.0003005768,0.000001567768,0.0003568149,0.8791398,0.007812217,0.01260165,0.09487876,0.003648534],"study_design_scores_gemma":[0.001132407,0.0001712106,0.0007419465,0.000007204571,0.00003013779,8.706335e-7,0.00003115575,0.8864285,0.07105387,0.0009547704,0.03920457,0.0002433813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01004959,0.00003867154,0.9352151,0.0004697225,0.0005189563,0.0003244457,0.000001105997,0.0004211864,0.05296118],"genre_scores_gemma":[0.9944021,0.000003232147,0.002922029,0.0004979674,0.0002029824,0.00009755221,0.000002192251,0.00003319892,0.001838773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9843525,"threshold_uncertainty_score":0.4892716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005482669683272374,"score_gpt":0.1858750876969853,"score_spread":0.1803924180137129,"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."}}