{"id":"W3094151785","doi":"10.37775/eis.2020.2.2","title":"Performance of Cell Phone Controlled Model Vehicle","year":2020,"lang":"en","type":"article","venue":"Mérnöki és Informatikai Megoldások","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Savaria (Canada)","funders":"","keywords":"Cordless; Phone; Battery (electricity); Automotive engineering; Construct (python library); Power (physics); Power consumption; Computer science; Smart phone; Electrical engineering; Telecommunications; Engineering; Computer network","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":[0.000212448,0.0002373703,0.0005276186,0.0000717596,0.00006075234,0.0000256828,0.0003177996,0.0001150325,0.0001197041],"category_scores_gemma":[0.0000471291,0.000217557,0.0001529998,0.000274716,0.00006050269,0.0006038363,0.00007441461,0.0002521122,0.0001439152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006184419,"about_ca_system_score_gemma":0.00005426838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006020746,"about_ca_topic_score_gemma":0.000001328142,"domain_scores_codex":[0.9984741,0.00001536803,0.0007065155,0.0001172976,0.000304278,0.0003824682],"domain_scores_gemma":[0.9992293,0.0000452023,0.0001010175,0.0003119601,0.0001277073,0.0001848487],"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":[0.0007251284,0.00009310081,0.004223677,0.003399603,0.0001137666,0.000004338471,0.01439021,0.9437967,0.01583502,0.0002970709,0.008982916,0.008138487],"study_design_scores_gemma":[0.003164733,0.00009017082,0.0003933122,0.00001137027,0.00002258337,8.508147e-7,0.000451448,0.973577,0.02111565,0.00003611263,0.0009053836,0.0002314177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474948,0.0001229859,0.002963225,0.0001068397,0.0001010571,0.0004338759,0.00001788782,0.0003318308,0.04842749],"genre_scores_gemma":[0.9983069,0.00004452159,0.001095538,0.0002558133,0.00004465786,0.00003706623,0.00001088999,0.00002723225,0.0001773968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05081208,"threshold_uncertainty_score":0.8871717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00792204511706317,"score_gpt":0.1769044220888416,"score_spread":0.1689823769717784,"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."}}