{"id":"W4375953126","doi":"10.22214/ijraset.2023.51487","title":"Used Car Price Prediction Using Machine Learning","year":2023,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001662758,0.00007064184,0.00008195025,0.002182518,0.0002577903,0.0000799352,0.0003754578,0.00007133945,0.000005953222],"category_scores_gemma":[0.0002194815,0.0000694963,0.00001660683,0.001236134,0.0002409708,0.0001384766,0.00007550907,0.0004431159,0.000004810459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326561,"about_ca_system_score_gemma":0.00005393429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008131236,"about_ca_topic_score_gemma":0.00002584367,"domain_scores_codex":[0.9985887,0.000007676219,0.0001895769,0.0001903212,0.0006254861,0.0003982292],"domain_scores_gemma":[0.9996154,0.00008696575,0.00003531931,0.00007344237,0.0001203166,0.00006861408],"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":[0.00002226629,0.00001914348,0.004330724,0.00001187292,0.00002339603,0.00002617013,0.0003111292,0.4136792,0.4045167,0.1717082,0.0000146967,0.005336517],"study_design_scores_gemma":[0.001286128,0.000115877,0.009170474,0.00008271712,0.00000524752,0.0001295006,0.0009504665,0.8634574,0.03464154,0.02231673,0.06762086,0.0002230385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946043,0.0000485651,0.003395472,0.0009255703,0.0003492461,0.0001006894,0.000005483083,0.0001466365,0.000424045],"genre_scores_gemma":[0.9980841,0.0002823885,0.001411255,0.000009423439,0.00008945682,0.00003677736,0.000006648354,0.00001342635,0.00006654982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4497782,"threshold_uncertainty_score":0.2833977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05693453243042489,"score_gpt":0.3558094187355608,"score_spread":0.2988748863051359,"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."}}