{"id":"W2438323648","doi":"10.1145/2934328.2934349","title":"Range prediction for electric bicycles","year":2016,"lang":"en","type":"article","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Range (aeronautics); Computer science; Driving range; Focus (optics); Energy consumption; Field (mathematics); Transport engineering; Electric vehicle; Engineering; Electrical engineering; Aerospace engineering; Power (physics)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003501928,0.0007823604,0.0005936085,0.001578388,0.0002652753,0.0005768533,0.0007834324,0.0005314099,0.001936512],"category_scores_gemma":[0.001914782,0.0001918604,0.0004294051,0.001307034,0.0001285573,0.0007922477,0.0005285628,0.0005721042,0.001114843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003652946,"about_ca_system_score_gemma":0.0003549168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02309658,"about_ca_topic_score_gemma":0.02547874,"domain_scores_codex":[0.9996862,0.00005373015,0.00001546836,0.0001187224,0.00006957349,0.00005620494],"domain_scores_gemma":[0.9992478,0.0002895889,0.00007620203,0.00007523091,0.0002504174,0.00006078021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008815683,0.0004479726,0.1584769,0.0003000029,0.0001709725,0.0002171574,0.0001996056,0.58727,0.00591677,0.0007097842,0.007177867,0.2382315],"study_design_scores_gemma":[0.00001735049,0.0001156644,0.04481848,0.00003039675,0.00002129065,0.00008523377,0.000180211,0.9500821,0.001961442,0.0008401476,0.001816547,0.00003104861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184264,0.001480727,0.06363488,0.0003169008,0.0001469871,0.00006782805,0.00639134,0.002434904,0.007099996],"genre_scores_gemma":[0.9811272,0.0001395406,0.01253513,0.00002446811,0.00002287531,0.00003092728,0.0050039,0.00004026937,0.001075682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02309658,"threshold_uncertainty_score":0.04592431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009010314208029186,"score_gpt":0.2018572083602241,"score_spread":0.1928468941521949,"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."}}