{"id":"W4367628021","doi":"10.3390/electronics12092065","title":"Are Commercial EV Chargers Ready to Aid with Household Power Consumption?","year":2023,"lang":"en","type":"article","venue":"Electronics","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Automotive engineering; Grid; Electrical engineering; Electricity; Environmental economics; Zero emission; Power grid; Engineering; Power (physics); Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011686,0.0002891297,0.0002711518,0.0001756839,0.0003590194,0.001691488,0.0009104064,0.001132676,0.01619542],"category_scores_gemma":[0.005561161,0.0001184495,0.0002178736,0.0003471743,0.0005256583,0.003345269,0.000464594,0.000503267,0.004517279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004665325,"about_ca_system_score_gemma":0.0009148542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002445396,"about_ca_topic_score_gemma":0.003425136,"domain_scores_codex":[0.9991621,0.0002141372,0.00003015776,0.00009823289,0.0003237553,0.000171679],"domain_scores_gemma":[0.9979864,0.0003707555,0.0002169789,0.0002355656,0.00107763,0.0001125944],"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":[0.0008906651,0.0004924939,0.04374466,0.001349698,0.00006577904,0.0008868966,0.0008714558,0.002571637,0.0150974,0.02483788,0.06101919,0.8481723],"study_design_scores_gemma":[0.000185742,0.001880413,0.05327871,0.001420045,0.0001224368,0.003634433,0.02599195,0.008987509,0.05200516,0.02133506,0.8310106,0.0001479001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6560339,0.0166986,0.05193982,0.05485684,0.002614922,0.0004423288,0.00144617,0.001721662,0.2142458],"genre_scores_gemma":[0.9699584,0.005108448,0.008034111,0.001401225,0.0001624221,0.00005913108,0.0005172348,0.0001007564,0.01465817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01619542,"threshold_uncertainty_score":0.05417907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434039589409964,"score_gpt":0.222057385723425,"score_spread":0.2077169898293254,"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."}}