{"id":"W2958366727","doi":"10.14288/1.0378695","title":"Soft capacitive sensors for proximity, touch, pressure and shear measurements","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Capacitive sensing; Pressure sensor; Acoustics; Shear (geology); Proximity sensor; Materials science; Computer science; Electrical engineering; Engineering; Mechanical engineering; Physics; Composite material","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":[0.000286819,0.00005406856,0.0002595383,0.00005404917,0.000194835,0.00008322375,0.0005000403,0.000162267,0.00001336028],"category_scores_gemma":[0.00004478609,0.0001708289,0.00007972482,0.0001701621,0.0001601981,0.0005486321,0.00008156051,0.0001101692,0.00001474582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002977889,"about_ca_system_score_gemma":0.0000459459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006931929,"about_ca_topic_score_gemma":0.009505198,"domain_scores_codex":[0.998748,0.00005986153,0.0001103134,0.0005117988,0.0003019486,0.0002680646],"domain_scores_gemma":[0.9990714,0.00004393087,0.0001251804,0.0003903091,0.0002877279,0.00008144647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009263088,0.0006588713,0.2649942,0.001701904,0.0011026,0.000103286,0.003295456,0.0001003982,0.04933647,0.0004066261,0.01494604,0.6632615],"study_design_scores_gemma":[0.002719156,0.0003197578,0.9887594,0.0002919534,0.00009078094,0.0001063627,0.001048525,0.002457121,0.0003122153,0.001062466,0.002431365,0.0004008964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838662,0.0001912811,0.01314672,0.0001851297,0.0002840254,0.001024482,0.00005292433,0.0001791299,0.00107014],"genre_scores_gemma":[0.9955204,0.00001253067,0.002823556,0.00003773716,0.00001360785,0.000001683532,0.000002529444,0.000008161144,0.00157984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7237652,"threshold_uncertainty_score":0.999681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941608627181331,"score_gpt":0.1856635864865588,"score_spread":0.1662475002147455,"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."}}