{"id":"W3040396709","doi":"10.1088/1361-6439/aba226","title":"The development of a pressure sensor using a technique for patterning silver nanowires on 3-dimensional curved PDMS membranes","year":2020,"lang":"en","type":"article","venue":"Journal of Micromechanics and Microengineering","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gauge factor; Resistive touchscreen; Materials science; Nanowire; Fabrication; Pressure sensor; Membrane; Development (topology); Mold; Nanotechnology; Pressure measurement; Strain gauge; Optoelectronics; Composite material; Mechanical engineering; Electrical engineering; Chemistry; 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":[0.0002449912,0.0001692369,0.0002878673,0.0000648007,0.00009540279,0.00002891357,0.0001115285,0.00005991073,0.000002076567],"category_scores_gemma":[0.00007491915,0.0001299182,0.00007330842,0.00006347376,0.00001055655,0.00006658634,0.00003112193,0.000133559,1.737572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002108246,"about_ca_system_score_gemma":0.00002182474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.106787e-7,"about_ca_topic_score_gemma":4.671247e-7,"domain_scores_codex":[0.9990964,0.00001302341,0.0004918005,0.00009684802,0.0001041615,0.0001977967],"domain_scores_gemma":[0.9994816,0.0001328776,0.0001541402,0.00006545582,0.00009043172,0.00007552466],"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":[0.00004295645,0.000004949547,0.000001820528,0.0003034036,0.00008618645,0.000003068619,0.0002383861,0.1661786,0.8324906,0.00001863653,0.0000149782,0.000616418],"study_design_scores_gemma":[0.000299013,0.00006759982,0.00000727574,0.0003860779,0.00003386077,0.0000727282,0.00006062722,0.02911537,0.9646735,0.00001629993,0.005124352,0.0001432994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8625318,0.001169473,0.1357635,0.0000381927,0.000294328,0.0001525826,0.00001565825,0.00003151051,0.000002940376],"genre_scores_gemma":[0.9363359,0.0001043415,0.0633646,0.0000214797,0.0001102649,0.0000048806,0.000001254728,0.00004966831,0.000007630987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1370633,"threshold_uncertainty_score":0.5297909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01978661491629595,"score_gpt":0.2196537846090061,"score_spread":0.1998671696927102,"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."}}