{"id":"W4391604377","doi":"10.18260/1-2--42385","title":"Board 103: Solar-Powered Car Speed Radar Measurement, Display, and Logging System","year":2024,"lang":"en","type":"article","venue":"","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Science Foundation","keywords":"Radar; Wind speed; Computer science; Microprocessor; Real-time computing; Speed measurement; Data logger; Photovoltaic system; Automotive engineering; Simulation; Engineering; Computer hardware; Electrical engineering; Telecommunications; Meteorology; Operating system; Geography","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":[0.0002145791,0.0001668054,0.0001964883,0.0001036954,0.00006388551,0.0001441206,0.00006350328,0.00008117117,0.00003657439],"category_scores_gemma":[0.000007914856,0.0001457937,0.00006552063,0.0001286565,0.00001372801,0.0001226929,0.00001841303,0.0001408345,0.0001849069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001913204,"about_ca_system_score_gemma":0.00001232471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001201162,"about_ca_topic_score_gemma":0.00006101832,"domain_scores_codex":[0.9990451,0.00002576811,0.0002417692,0.0002076125,0.0002578908,0.000221855],"domain_scores_gemma":[0.9996756,0.00001964028,0.00001051324,0.0001710591,0.00002526456,0.00009795537],"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":[0.0001184337,0.00005739332,0.001159374,0.03031663,0.002965902,0.001022945,0.008092206,0.005147181,0.7505976,0.02277393,0.1091231,0.06862532],"study_design_scores_gemma":[0.0007130408,0.00005872389,0.0007829127,0.001051518,0.00009348422,0.0003317581,0.002760629,0.7067637,0.01289882,0.00002069146,0.2737629,0.0007617357],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2760836,0.04721502,0.1743163,0.001067929,0.03668052,0.002845671,0.0001155747,0.02789916,0.4337762],"genre_scores_gemma":[0.99883,0.00003569445,0.00009846229,0.00001376244,0.0001704402,0.000005761933,0.000001959292,0.00004440792,0.0007995478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7376987,"threshold_uncertainty_score":0.5945296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418438436063348,"score_gpt":0.1976594872348276,"score_spread":0.1834751028741941,"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."}}