{"id":"W2896682231","doi":"10.11606/t.55.2018.tde-18102018-104924","title":"Soluções de tomadas de decisões inteligentes para infraestruturas residenciais","year":2018,"lang":"pt","type":"dissertation","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Computer science; Context (archaeology); Home automation; Process (computing); Node (physics); Wireless sensor network; Energy consumption; Service (business); Decision-making; Computer network; Computer security; Engineering; Telecommunications; Business; Operations management","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":[0.001322366,0.001028627,0.000852784,0.001146114,0.001146692,0.002302894,0.001362642,0.0008057308,0.01133432],"category_scores_gemma":[0.004408478,0.0004936892,0.0009033267,0.0007143493,0.0007755292,0.002286749,0.001517283,0.001285177,0.003146293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009980538,"about_ca_system_score_gemma":0.001022777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002493887,"about_ca_topic_score_gemma":0.005968841,"domain_scores_codex":[0.9989964,0.0001561605,0.00005515313,0.0002563907,0.0003505564,0.0001853371],"domain_scores_gemma":[0.9983457,0.000520909,0.0001756101,0.0002905757,0.0005088802,0.0001581779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00185009,0.0006909791,0.01053085,0.001292809,0.0001379511,0.0009662572,0.002117736,0.03203334,0.06488767,0.01961168,0.01295935,0.8529213],"study_design_scores_gemma":[0.0004672593,0.004082641,0.02822785,0.001181799,0.0007871481,0.001972555,0.005188909,0.396787,0.2319899,0.03052279,0.2984935,0.0002986754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.495238,0.007642644,0.3774419,0.002048783,0.001626488,0.001012509,0.0009713448,0.01106908,0.1029493],"genre_scores_gemma":[0.8330514,0.00251361,0.1356376,0.0003358673,0.0001902572,0.0003530102,0.0006782487,0.0005280126,0.02671197],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01133432,"threshold_uncertainty_score":0.03791714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699177592424355,"score_gpt":0.2700450799693697,"score_spread":0.2530533040451262,"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."}}