{"id":"W4361185981","doi":"10.1109/isgtmiddleeast56437.2023.10078477","title":"Density And Dynamic Time Warping Based Spatial Clustering For Appliance Operation Modes","year":2023,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Cluster analysis; Dynamic time warping; DBSCAN; Silhouette; Computer science; Image warping; Data mining; Partition (number theory); Consensus clustering; Pattern recognition (psychology); Artificial intelligence; Correlation clustering; CURE data clustering algorithm; Mathematics","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":[0.0006858393,0.001168658,0.0009780932,0.003096697,0.0007363019,0.001058889,0.001222925,0.0006687351,0.001429159],"category_scores_gemma":[0.003433772,0.0003014366,0.001157874,0.004271142,0.000442956,0.001310398,0.0009247586,0.0008915773,0.00138518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009071935,"about_ca_system_score_gemma":0.0007166311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01473234,"about_ca_topic_score_gemma":0.01633152,"domain_scores_codex":[0.9990557,0.0001877199,0.00007097125,0.000333708,0.0002441595,0.0001077113],"domain_scores_gemma":[0.9987895,0.0003419576,0.0001717729,0.0002414346,0.0003953247,0.00006007691],"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":[0.0007724573,0.0003379663,0.02036923,0.0005081344,0.0004543372,0.000502951,0.0007271937,0.3969346,0.01329946,0.008561408,0.01969657,0.5378357],"study_design_scores_gemma":[0.00001129244,0.00005148145,0.005523807,0.0000213108,0.00003127843,0.0002240517,0.000294204,0.979258,0.004708325,0.005148691,0.004689448,0.00003826167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1835844,0.002247012,0.7990401,0.0006578239,0.000275429,0.0002621198,0.004082553,0.003815635,0.006034897],"genre_scores_gemma":[0.7365013,0.001203214,0.2446376,0.00015201,0.0001451054,0.0002721176,0.01086188,0.000308514,0.005918317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01473234,"threshold_uncertainty_score":0.02929318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008230991195419755,"score_gpt":0.2046610672516357,"score_spread":0.1964300760562159,"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."}}