{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003340736,0.00003499397,0.00003243501,0.00003051743,0.00002351962,0.000003899109,0.00002832938,0.00002522922,0.0001255079],"category_scores_gemma":[0.000004715487,0.00002015311,0.00001714174,0.00005166998,0.000002270444,0.00007139839,0.000002139173,0.00001341544,0.00003436215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001376027,"about_ca_system_score_gemma":0.000002626533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.810026e-7,"about_ca_topic_score_gemma":9.01486e-7,"domain_scores_codex":[0.9997833,0.000001113225,0.00005221866,0.00004120208,0.00002714371,0.00009498019],"domain_scores_gemma":[0.9998854,0.00002176428,0.000003171903,0.00005559305,0.000008878186,0.00002514452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001196708,0.00000942071,0.006995418,0.00004170739,0.00001579434,1.852077e-7,0.00002683977,0.0003388435,0.4478837,0.000670942,0.04727074,0.4967345],"study_design_scores_gemma":[0.001296319,0.0001166692,0.03807024,0.00005663884,0.00001158577,0.000006777007,0.000007448156,0.3631119,0.2273847,0.0006792885,0.3690156,0.000242898],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8843566,0.0002034291,0.1034966,0.0001654018,0.0002344863,0.0001352962,0.00001409615,0.0005221724,0.01087184],"genre_scores_gemma":[0.9979253,0.0001533972,0.000436846,0.00001194809,0.0001204141,0.00002412167,7.565593e-7,0.00000891072,0.001318353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4964916,"threshold_uncertainty_score":0.1374224,"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."}}