{"id":"W4293160493","doi":"10.1007/978-3-031-01495-6_1","title":"Introduction","year":2018,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on advances in automotive technology","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Truck; Engineering; Electrification; Loader; Fuel efficiency; Automotive engineering; Green vehicle; Transport engineering; Electricity; Mechanical engineering","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":[0.0004739198,0.0009734404,0.0005362102,0.001489035,0.001062967,0.003411453,0.001379351,0.001457726,0.5599396],"category_scores_gemma":[0.001624877,0.0002865124,0.0004922065,0.001117263,0.0004659143,0.002398485,0.002303225,0.001641738,0.4838612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170871,"about_ca_system_score_gemma":0.00161704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558332,"about_ca_topic_score_gemma":0.002767142,"domain_scores_codex":[0.9994379,0.00004479636,0.00001753356,0.0001217779,0.0003155826,0.00006242623],"domain_scores_gemma":[0.9993963,0.00006824102,0.00002078847,0.00007862085,0.0003038842,0.0001321694],"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":[0.0000276144,0.00003714326,0.00008233303,0.0001901888,0.000002773664,0.00004637531,0.00008536594,0.0001945556,0.0007724867,0.02496737,0.7517228,0.221871],"study_design_scores_gemma":[0.000001796918,0.000006249101,0.00006000897,0.00005528232,9.454728e-7,0.00002489853,0.00002239984,0.00002690545,0.000112806,0.002836873,0.9968497,0.000002248921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004286897,0.003935772,0.006422254,0.002767226,0.00784366,0.0001258815,0.001807821,0.001027201,0.9756414],"genre_scores_gemma":[0.001149884,0.001631157,0.001226799,0.0007661133,0.0009700173,0.0000583669,0.001216036,0.0002254553,0.9927562],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5599396,"threshold_uncertainty_score":0.6276927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004659163494516206,"score_gpt":0.212075905915709,"score_spread":0.2074167424211928,"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."}}