{"id":"W4404631318","doi":"10.1016/j.apmt.2024.102506","title":"Intelligent mobility: Unveiling triboelectric nanogenerator-powered intelligent tire realization","year":2024,"lang":"en","type":"article","venue":"Applied Materials Today","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Brock University","funders":"National Natural Science Foundation of China","keywords":"Triboelectric effect; Nanogenerator; Realization (probability); Electrical engineering; Engineering; Computer science; Materials science; Voltage; Mathematics","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":[0.0001442014,0.0003659312,0.0002534085,0.0001900312,0.0002775873,0.0005551285,0.0005898707,0.0006089314,0.002037055],"category_scores_gemma":[0.0002557354,0.0001333251,0.0001839462,0.0001117105,0.0005812758,0.000940316,0.0007594614,0.0004959988,0.0009482432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576451,"about_ca_system_score_gemma":0.0001285577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001228236,"about_ca_topic_score_gemma":0.000244888,"domain_scores_codex":[0.9999005,0.000008182437,0.000003448562,0.00002259864,0.00003724135,0.00002813863],"domain_scores_gemma":[0.9999071,0.00001659092,0.00001171391,0.00002928509,0.0000199773,0.00001523803],"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":[0.00008058875,0.00006206298,0.0002112009,0.0002138197,0.00001643533,0.0002459043,0.0002596668,0.004704203,0.8810202,0.08538151,0.001962774,0.02584171],"study_design_scores_gemma":[0.00006684613,0.0003736999,0.0007122342,0.0000590113,0.00003092188,0.000713349,0.0003075395,0.1210475,0.760464,0.03887773,0.077266,0.00008124229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5177304,0.00363849,0.3828156,0.00254799,0.0009439815,0.0001728098,0.000256562,0.001445439,0.09044879],"genre_scores_gemma":[0.9620968,0.0006237689,0.02920677,0.0001449024,0.00004486581,0.0000509157,0.00007872438,0.00006097125,0.007692337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002037055,"threshold_uncertainty_score":0.006814599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379990114884464,"score_gpt":0.2329998261087563,"score_spread":0.2191999249599117,"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."}}