{"id":"W4319297857","doi":"10.3390/electronics12040790","title":"Applications of Clustering Methods for Different Aspects of Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Cluster analysis; Computer science; Data mining; Operations research; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002003163,0.001353637,0.000915958,0.005070827,0.001060488,0.001858282,0.001580832,0.001288722,0.002144951],"category_scores_gemma":[0.006366674,0.0005380207,0.001749593,0.006475053,0.0006710149,0.001558988,0.001184178,0.001182045,0.001436225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001528509,"about_ca_system_score_gemma":0.001402859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00883082,"about_ca_topic_score_gemma":0.00875095,"domain_scores_codex":[0.9977799,0.0007545868,0.000184917,0.0005442611,0.0006326703,0.0001035702],"domain_scores_gemma":[0.9965866,0.001544212,0.0003367963,0.000315901,0.00114553,0.00007101215],"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":[0.0001281142,0.00008087608,0.005881193,0.001825201,0.0005995227,0.00026625,0.0006560607,0.2673385,0.005141626,0.04963575,0.01480581,0.6536411],"study_design_scores_gemma":[0.00002242161,0.00009625557,0.007280902,0.0004217048,0.0002127374,0.0006073748,0.0008029775,0.8274187,0.007606619,0.08830743,0.06703262,0.0001901864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007703825,0.008217479,0.9727313,0.00075903,0.0003114123,0.0001818495,0.0005398043,0.0005521068,0.009003141],"genre_scores_gemma":[0.257658,0.01873985,0.7100491,0.0003978509,0.000770595,0.0003896427,0.002391863,0.000418333,0.009184765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00883082,"threshold_uncertainty_score":0.01755881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008742816815614287,"score_gpt":0.2726506453840842,"score_spread":0.2639078285684699,"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."}}