{"id":"W4402643460","doi":"10.1016/j.cie.2024.110579","title":"Leveraging online reviews and expert opinions for electric vehicle type prioritization","year":2024,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Prioritization; Computer science; Electric vehicle; Type (biology); Engineering; Operations research; Data science; Management science; Geology; Physics","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":[0.02646987,0.001422667,0.001692476,0.02221171,0.0009153416,0.004534052,0.001657153,0.001892187,0.00796586],"category_scores_gemma":[0.1349641,0.0005657185,0.001388069,0.008672578,0.0003443172,0.005125441,0.001606626,0.001161613,0.004769911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008227787,"about_ca_system_score_gemma":0.003085782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003456252,"about_ca_topic_score_gemma":0.01410893,"domain_scores_codex":[0.9620706,0.0168717,0.003642599,0.003787447,0.0129226,0.0007051686],"domain_scores_gemma":[0.7114962,0.1999475,0.01661965,0.007595204,0.06182635,0.002515186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00116913,0.001146875,0.05635849,0.004311551,0.002324255,0.001048513,0.001445553,0.00900381,0.009887845,0.002471528,0.0752674,0.8355651],"study_design_scores_gemma":[0.0008754288,0.003198283,0.1588513,0.004552295,0.007182508,0.002279001,0.00680022,0.5015278,0.03210127,0.04367444,0.2379373,0.001020302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3792125,0.02787969,0.395309,0.01257802,0.005395902,0.005686331,0.03551191,0.004725443,0.1337012],"genre_scores_gemma":[0.7047849,0.00395874,0.2582479,0.001924565,0.003412299,0.001109516,0.01483951,0.0003537188,0.0113688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02646987,"threshold_uncertainty_score":0.1399877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055699451738712,"score_gpt":0.2471850021348282,"score_spread":0.2166280076174411,"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."}}