{"id":"W4283696603","doi":"10.22214/ijraset.2022.44629","title":"Crypto Currency Mining Farm for E-Vehicle using ML","year":2022,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"CancerCare Manitoba Foundation","keywords":"Toll; Currency; Electric vehicle; Business; Diesel fuel; Order (exchange); Automotive engineering; Transport engineering; Environmental economics; Finance; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002125849,0.00008928062,0.0001092084,0.002158648,0.0003761867,0.0001203597,0.0006211546,0.00007064209,0.000006772169],"category_scores_gemma":[0.0002500197,0.0001031096,0.00002312263,0.001022021,0.0001074537,0.0001306874,0.0002147685,0.0007569288,8.395509e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006543691,"about_ca_system_score_gemma":0.00009940661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002635941,"about_ca_topic_score_gemma":0.000001791291,"domain_scores_codex":[0.9984254,0.000005798031,0.0002269955,0.0002070874,0.0006030846,0.0005316809],"domain_scores_gemma":[0.9993673,0.0001810325,0.00002656509,0.00008279579,0.0002687153,0.00007362211],"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":[0.00006258622,0.00004587342,0.0002098561,0.00005541777,0.00003679466,0.00002357182,0.0002702387,0.1703497,0.6314603,0.02154734,0.0001857592,0.1757526],"study_design_scores_gemma":[0.0007086798,0.00007792527,0.00007322584,0.00003722387,0.000002411892,0.0002300565,0.0006717807,0.9683303,0.006687417,0.008537173,0.01449304,0.0001507967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724655,0.0001624451,0.02474348,0.0005168124,0.001422258,0.0003566573,0.00001929307,0.0001396438,0.0001739115],"genre_scores_gemma":[0.9854729,0.00005123588,0.01407416,0.0000103987,0.000113852,0.0002486747,0.000002820515,0.00002220206,0.000003752657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7979806,"threshold_uncertainty_score":0.4204685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08512847573128583,"score_gpt":0.3819862602428968,"score_spread":0.296857784511611,"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."}}