{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008165275,0.0001280169,0.0001219512,0.00008259749,0.00004680366,0.00002466698,0.0001339191,0.00004242031,0.00003681712],"category_scores_gemma":[0.00006150721,0.00009577924,0.00005311274,0.00006363058,0.00001792595,0.0001009914,0.0000373459,0.00002305322,0.00003588221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005617337,"about_ca_system_score_gemma":0.000005250154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001355048,"about_ca_topic_score_gemma":0.00002535946,"domain_scores_codex":[0.9993702,0.00000660387,0.0001331838,0.0001433687,0.00009702793,0.0002496722],"domain_scores_gemma":[0.9995872,0.0000998508,0.00001491304,0.000228517,0.00002862169,0.00004090256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000006227534,0.000006442625,0.00004172132,0.00006942987,0.0000914456,0.000003632932,0.000042561,0.3684555,0.01211442,0.6028744,0.007494924,0.008799308],"study_design_scores_gemma":[0.002486577,0.0001373855,0.001216747,0.0003579162,0.0001481011,0.000007429069,0.0003332715,0.1197189,0.4440711,0.1170939,0.312882,0.001546549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3756286,0.0004429394,0.6012771,0.0008884755,0.004258789,0.0002417303,0.00003194073,0.002218294,0.01501215],"genre_scores_gemma":[0.9854564,0.0002048957,0.01163602,0.00006119333,0.0003465245,0.0001409432,0.000007044277,0.00005430569,0.002092685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6098278,"threshold_uncertainty_score":0.3905764,"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."}}