{"id":"W2772774669","doi":"10.55016/ojs/sppp.v4i1.42363","title":"Environmental Benefits of Using Wind Generation to Power Plug-In Hybrid Electric Vehicles","year":2011,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Plug-in; Wind power; Hybrid power; Automotive engineering; Environmental science; Electricity generation; Electric power; Power (physics); Engineering; Electrical engineering; Computer science; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002279928,0.0002773524,0.00009378032,0.0003252289,0.0004643157,0.0007075658,0.000210018,0.0003484529,0.004494747],"category_scores_gemma":[0.0004927436,0.00008356351,0.0002141236,0.0004950721,0.0003186912,0.0004655624,0.0004490953,0.0002859955,0.00021916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009446754,"about_ca_system_score_gemma":0.0006543426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277641,"about_ca_topic_score_gemma":0.07397009,"domain_scores_codex":[0.9997707,0.00007422871,0.000004326909,0.00001358048,0.00009113863,0.00004604744],"domain_scores_gemma":[0.999708,0.0000987313,0.00004191169,0.00001608467,0.0001185024,0.00001674322],"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":[0.002256429,0.001531196,0.1475299,0.001632661,0.0005725907,0.002537404,0.0004397779,0.2137299,0.09425153,0.05119384,0.0112287,0.4730962],"study_design_scores_gemma":[0.0003447356,0.003509316,0.5468429,0.0006718615,0.0009242558,0.001041557,0.008317331,0.08952665,0.1207039,0.0574726,0.1704662,0.0001786944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8145297,0.001795764,0.006881205,0.001947235,0.0001154933,0.00005472687,0.0005511427,0.00008877568,0.174036],"genre_scores_gemma":[0.9951474,0.0005666162,0.0006957534,0.00005217499,0.00001226437,0.000005430814,0.00007793945,0.000006837071,0.003435495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01277641,"threshold_uncertainty_score":0.0254041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714477802194684,"score_gpt":0.2296972483201233,"score_spread":0.2025524702981765,"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."}}