{"id":"W4310784694","doi":"10.1038/s41378-022-00465-0","title":"3D designed battery-free wireless origami pressure sensor","year":2022,"lang":"en","type":"article","venue":"Microsystems & Nanoengineering","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Pressure sensor; Battery (electricity); Wireless; Electrical engineering; Computer science; Engineering; Electronic engineering; Telecommunications; Mechanical engineering; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002737672,0.0004122793,0.0005011919,0.0001834638,0.0002872506,0.0001059934,0.0005286693,0.00009215642,0.0001534395],"category_scores_gemma":[0.0000280386,0.0004744905,0.00009866627,0.0003356461,0.00001984766,0.0001861148,0.0002048424,0.0002892102,0.00003270083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00018102,"about_ca_system_score_gemma":0.00001583329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005169346,"about_ca_topic_score_gemma":0.000005018862,"domain_scores_codex":[0.9980209,0.00007316863,0.0005266696,0.000378714,0.0003059359,0.0006945733],"domain_scores_gemma":[0.9989815,0.00007962346,0.000068908,0.0006978128,0.00003759264,0.0001345646],"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":[0.000006417812,0.000007224153,0.00002890279,0.0002367224,0.00004979235,0.00003236014,0.0001321442,0.4738574,0.5246887,0.00004312494,0.0007887924,0.0001284085],"study_design_scores_gemma":[0.001880188,0.0001112443,0.0002380393,0.0002561426,0.0001193506,0.0006738657,0.000319632,0.1260796,0.5171565,0.00002506105,0.3512275,0.001912744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493154,0.001916523,0.03921126,0.00002483515,0.005152143,0.0004521252,0.0003101154,0.002812335,0.0008052091],"genre_scores_gemma":[0.9944958,0.00002095085,0.003024098,0.00002692473,0.0003996465,0.000190274,0.00004013714,0.0002202033,0.001581952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3504387,"threshold_uncertainty_score":0.9997707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006833397285864864,"score_gpt":0.1806371532143369,"score_spread":0.1738037559284721,"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."}}