{"id":"W3021667500","doi":"10.3390/en13092250","title":"Adaptive Machine Learning for Automated Modeling of Residential Prosumer Agents","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université du Québec à Trois-Rivières","funders":"","keywords":"Prosumer; Forgetting; Computer science; Adaptation (eye); Concept drift; Quality (philosophy); Artificial intelligence; Machine learning; Data stream mining; Engineering","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":[0.0008163595,0.0005344761,0.0006614638,0.0004720877,0.0003388229,0.0007656074,0.0008839946,0.0006906978,0.0008950083],"category_scores_gemma":[0.002555709,0.0003703091,0.0005435593,0.0003772441,0.0003801539,0.000669747,0.0006078305,0.001127518,0.000216162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006355252,"about_ca_system_score_gemma":0.0006698201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006262034,"about_ca_topic_score_gemma":0.004345964,"domain_scores_codex":[0.9997428,0.0000843837,0.00001979212,0.00006798738,0.00005037743,0.00003462136],"domain_scores_gemma":[0.9992526,0.0004724681,0.00009090994,0.00004814355,0.0001130154,0.00002279245],"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":[0.00001909014,0.00002029965,0.0005830976,0.00001259762,0.00001401468,0.0000318418,0.00004044837,0.9835543,0.0004974013,0.001969195,0.0001050159,0.01315265],"study_design_scores_gemma":[3.401253e-7,0.000001501356,0.00002178287,3.505628e-7,5.311149e-7,0.000001211807,0.00000105592,0.9996202,0.00004117801,0.0002870734,0.00002428527,4.54171e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04863587,0.0001552986,0.9497601,0.0001120688,0.00001823641,0.00004643979,0.00004761767,0.0002612581,0.0009630572],"genre_scores_gemma":[0.9106714,0.0001617696,0.08705729,0.00004299721,0.00002288513,0.000189768,0.00009133066,0.00002591871,0.001736678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006262034,"threshold_uncertainty_score":0.01245117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05212651095589332,"score_gpt":0.2855728694845557,"score_spread":0.2334463585286624,"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."}}