{"id":"W3198254577","doi":"10.3390/vehicles3030034","title":"EV Overnight Charging Strategy in Residential Sector: Case of Winter Season in Quebec","year":2021,"lang":"en","type":"article","venue":"Vehicles","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Ministère des relations internationales et de la Francophonie","keywords":"Grid; Software deployment; Market penetration; Environmental science; Consumption (sociology); Peak demand; Automotive engineering; Probabilistic logic; Electric vehicle; Power consumption; Environmental economics; Computer science; Power (physics); Electrical engineering; Electricity; Engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007818721,0.000118339,0.0001910661,0.0001194871,0.00001504925,0.00003251833,0.00007348092,0.0001014155,0.0002215777],"category_scores_gemma":[0.00001327725,0.0001230794,0.00004645901,0.0003408042,0.00001494201,0.0001652268,0.00001900418,0.0002496363,0.000004389596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113706,"about_ca_system_score_gemma":0.00005792644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00572525,"about_ca_topic_score_gemma":0.07375994,"domain_scores_codex":[0.9992037,0.00004036732,0.0002543478,0.0001570862,0.0001022269,0.0002423141],"domain_scores_gemma":[0.9997258,0.00003382745,0.00002643446,0.0001491177,0.00002591974,0.00003895954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006932156,0.0001156743,0.1253026,0.0006552798,0.0001019638,0.01173688,0.003517842,0.06231827,0.729461,0.00149769,0.00403244,0.06119111],"study_design_scores_gemma":[0.002067247,0.00007088585,0.2597417,0.0004736491,0.00002347842,0.0007572596,0.001632662,0.1072053,0.6245024,0.001085604,0.001784505,0.0006553117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971257,0.00146877,0.00003757465,0.00004410727,0.00008063872,0.0000560509,0.00001088649,0.00003965735,0.001136567],"genre_scores_gemma":[0.9995357,0.00005979561,0.00006178873,0.00001873314,0.00008364413,0.000003200787,0.000006158684,0.0000227884,0.0002082232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1344392,"threshold_uncertainty_score":0.9431415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007113818706124044,"score_gpt":0.2134295514559841,"score_spread":0.20631573274986,"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."}}