{"id":"W4400296491","doi":"10.1155/2024/2387983","title":"Comprehensive Design Analysis of Economical E‐Bike Charger with IoT‐Empowered System for Real‐Time Parameter Monitoring","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Real-time computing; Engineering; Simulation; Automotive engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003800033,0.0006135622,0.0006657667,0.0004855352,0.0005091434,0.0009275021,0.00102949,0.0006255065,0.004642961],"category_scores_gemma":[0.0004617786,0.0002863,0.0006217687,0.0002380469,0.0002315296,0.0008970957,0.0003789685,0.0002993622,0.001049962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000605867,"about_ca_system_score_gemma":0.0006070805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373103,"about_ca_topic_score_gemma":0.001683485,"domain_scores_codex":[0.9994204,0.0001020871,0.0000336857,0.0001063843,0.0002843734,0.00005309227],"domain_scores_gemma":[0.9997385,0.00004084027,0.00003301755,0.00003366893,0.0001406093,0.00001328921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001200078,0.0005364194,0.00748442,0.002042827,0.0004509795,0.000897783,0.0004528482,0.3615943,0.3012135,0.01707108,0.008240768,0.298815],"study_design_scores_gemma":[0.00008205121,0.001975835,0.003829313,0.0000628733,0.0002743041,0.000640019,0.0001415983,0.8988218,0.07150473,0.001934121,0.02066971,0.00006369176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1458952,0.001175172,0.8162863,0.0004489775,0.0001988831,0.0006446043,0.0002600225,0.002103547,0.0329874],"genre_scores_gemma":[0.9615128,0.0003410175,0.02869826,0.00007517647,0.0000248755,0.0002160822,0.0001372863,0.00004023769,0.008954283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004642961,"threshold_uncertainty_score":0.01553226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219148650354837,"score_gpt":0.2807916703973857,"score_spread":0.258876805361902,"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."}}