{"id":"W4205613716","doi":"10.1109/tte.2021.3075133","title":"Information for authors","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Wish; Computer science; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008740164,0.001544293,0.003413785,0.004317922,0.002824385,0.009658583,0.003130018,0.004273695,0.8605565],"category_scores_gemma":[0.07226851,0.001412735,0.001346507,0.005102856,0.0008012242,0.00568536,0.003309274,0.00343531,0.8706126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322075,"about_ca_system_score_gemma":0.006910036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001666808,"about_ca_topic_score_gemma":0.003143462,"domain_scores_codex":[0.9952472,0.001029258,0.0008836209,0.0008249148,0.001595382,0.0004196221],"domain_scores_gemma":[0.9563493,0.008885914,0.001968298,0.005054994,0.02138185,0.006359589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007565249,0.00003723552,0.0001331962,0.00035032,0.000003789467,0.00003055987,0.00004133137,0.00004158632,0.0001575084,0.0008293893,0.958525,0.03977433],"study_design_scores_gemma":[0.00007130729,0.00004171588,0.0001916856,0.0002937015,0.00000672149,0.00007826004,0.00008092081,0.00007995975,0.0002033303,0.00156326,0.9973747,0.00001446536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001240617,0.008562714,0.02319942,0.04892214,0.08545788,0.01041507,0.2571029,0.02049308,0.5446061],"genre_scores_gemma":[0.003986548,0.01074339,0.01584493,0.02386613,0.009928164,0.01381669,0.0593605,0.005651429,0.8568022],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8605565,"threshold_uncertainty_score":0.1988991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033379531730962,"score_gpt":0.2172379664034996,"score_spread":0.18690417108619,"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."}}