{"id":"W2298696558","doi":"10.3390/en9030202","title":"Realistic Scheduling Mechanism for Smart Homes","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Dalhousie University","funders":"","keywords":"Computer science; Scheduling (production processes); Electricity; Particle swarm optimization; Heuristic; Power consumption; Reliability engineering; Mathematical optimization; Real-time computing; Power (physics); Operations research; Engineering; Artificial intelligence; Algorithm","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":[0.001624376,0.0005070949,0.0006008052,0.0003164357,0.0005107231,0.0007672705,0.001427231,0.0006350972,0.003149431],"category_scores_gemma":[0.003267861,0.0003597348,0.000403814,0.0004448826,0.0004790611,0.001263259,0.0006709421,0.0006357597,0.0004601486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000857289,"about_ca_system_score_gemma":0.00104924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00147061,"about_ca_topic_score_gemma":0.001789811,"domain_scores_codex":[0.9987761,0.0005027453,0.00007353297,0.0002316954,0.0002913885,0.0001244389],"domain_scores_gemma":[0.9987592,0.0004267368,0.0002405395,0.0003046291,0.0001680037,0.0001009482],"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":[0.0002983903,0.0001910991,0.001004939,0.0001536338,0.00004998233,0.0001645648,0.0001994932,0.863438,0.01013067,0.06310513,0.003705984,0.0575582],"study_design_scores_gemma":[0.00002687902,0.00008574798,0.0002329316,0.000005050673,0.000007954687,0.00005066214,0.00002657096,0.9850831,0.001107708,0.009908587,0.003452679,0.00001215043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03314859,0.0001296409,0.9621226,0.0001930834,0.0001103302,0.0001133244,0.00006563232,0.0006965644,0.003420327],"genre_scores_gemma":[0.7999849,0.0001319636,0.1966823,0.000114307,0.00008110821,0.0002051051,0.0001781686,0.00009407551,0.002528044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003149431,"threshold_uncertainty_score":0.01053584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136843737843628,"score_gpt":0.2047085946835614,"score_spread":0.1933401573051251,"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."}}