{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003477855,0.0006113062,0.0005849083,0.0004661677,0.0004611612,0.0008017133,0.0006070851,0.0007414388,0.007484204],"category_scores_gemma":[0.0007384359,0.000121574,0.0002639601,0.000195115,0.0002325997,0.0004214823,0.0004377696,0.0002582919,0.002183372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003443811,"about_ca_system_score_gemma":0.0003381224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004552374,"about_ca_topic_score_gemma":0.002425872,"domain_scores_codex":[0.9996539,0.00004152526,0.00001521358,0.0000905195,0.000104272,0.00009446299],"domain_scores_gemma":[0.9995018,0.0001142209,0.00004003121,0.00005421493,0.0002390141,0.00005064479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01486377,0.001600279,0.02826778,0.001770839,0.0002557249,0.001267281,0.001427402,0.2656328,0.5332661,0.002040237,0.007541888,0.1420659],"study_design_scores_gemma":[0.0003395898,0.01284645,0.03322476,0.00009014882,0.0002529111,0.0003711845,0.001137481,0.5195869,0.4186168,0.0005782262,0.01279068,0.0001648202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847718,0.0001689955,0.006797001,0.00006519883,0.00008322032,0.00005110199,0.000438681,0.0007648895,0.00685912],"genre_scores_gemma":[0.9963133,0.00004335973,0.0004342526,0.00001187881,0.000002079346,0.00002349818,0.0003045396,0.00001860314,0.002848512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007484204,"threshold_uncertainty_score":0.02503711,"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."}}