{"id":"W6947899810","doi":"10.48448/xqc6-8n61","title":"An Exploratory Study Using Stream Learning Algorithms to Predict Duration Time of Vehicle Routes","year":2020,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Testbed; Duration (music); Exploratory research; Data stream; Domain (mathematical analysis); Exploratory analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005034668,0.0002770915,0.0003054259,0.0001683071,0.0002125447,0.0001062442,0.0006848512,0.000125969,0.0006174122],"category_scores_gemma":[0.0001211675,0.0002276189,0.00003415261,0.001263864,0.000457614,0.0003878569,0.0003443309,0.0002760194,0.000343489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002683324,"about_ca_system_score_gemma":0.00008943796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005310091,"about_ca_topic_score_gemma":0.0004172741,"domain_scores_codex":[0.9972358,0.0001369512,0.0003377279,0.0008164948,0.001136505,0.000336463],"domain_scores_gemma":[0.9989496,0.00002296641,0.000315578,0.0004121773,0.0000316991,0.0002679533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002342122,0.001078805,0.0177272,0.00003399576,0.0000607323,0.00005406352,0.01806545,0.09384089,0.7997186,0.0000068617,0.02494524,0.04444475],"study_design_scores_gemma":[0.0007443271,0.002704675,0.01175345,0.000286281,0.0001406227,0.00001622305,0.01279075,0.9472997,0.01259359,0.00003206943,0.0102803,0.001358008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227717,0.00005531855,0.008629721,0.0002652388,0.0008328487,0.003090556,0.00005839191,0.001004083,0.06329212],"genre_scores_gemma":[0.9195416,0.000007191552,0.05957935,0.0001898151,0.0006191239,0.000004338919,0.00005850634,0.0002883709,0.01971171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8534588,"threshold_uncertainty_score":0.9282029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611972227598414,"score_gpt":0.2574173879379466,"score_spread":0.2412976656619625,"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."}}