{"id":"W4408902408","doi":"10.1088/2058-8585/adc60f","title":"Exploring mesoamerican pyramidal micro-structures in soft capacitors for positive and negative pressure sensing","year":2025,"lang":"en","type":"article","venue":"Flexible and Printed Electronics","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Pressure sensor; Materials science; Capacitor; Dielectric; Sensitivity (control systems); Polydimethylsiloxane; Fabrication; Pressure measurement; Capacitive sensing; Optoelectronics; Voltage; Nanotechnology; Electrical engineering; Electronic engineering; Mechanical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000639527,0.0001621285,0.0002231189,0.00009611868,0.0000996134,0.00004673814,0.00004271499,0.00005848135,0.000002121353],"category_scores_gemma":[0.00005565714,0.0001716632,0.00002127904,0.0001343594,0.00007634192,0.000130831,0.00002531143,0.0001637028,2.084954e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004162495,"about_ca_system_score_gemma":0.00002355824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001168053,"about_ca_topic_score_gemma":0.00009384974,"domain_scores_codex":[0.9992563,0.00002084477,0.0001485022,0.0002048978,0.00003800657,0.0003314417],"domain_scores_gemma":[0.9996998,0.000121789,0.00002406615,0.00008466224,0.00003121861,0.00003851483],"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":[0.0002966959,0.00001387987,0.0003805511,0.0005963139,0.0003424501,0.000006111917,0.004497781,0.1446467,0.7197112,0.008613451,0.0001225814,0.1207723],"study_design_scores_gemma":[0.001017004,0.0001166374,0.004751124,0.0002790814,0.00007983056,0.00001934058,0.0008239194,0.03780691,0.9185122,0.02549974,0.01058487,0.0005093907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710068,0.002141582,0.02558623,0.00007052107,0.0002129856,0.0002164585,0.00001635926,0.0002009713,0.0005481439],"genre_scores_gemma":[0.9937506,0.0006879207,0.005281196,0.00004449979,0.00005051902,0.000012358,0.000009394071,0.0000256811,0.0001378353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.198801,"threshold_uncertainty_score":0.7000222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968993558997053,"score_gpt":0.2422468793051224,"score_spread":0.2225569437151518,"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."}}