{"id":"W2138714678","doi":"10.1039/c2lc40670e","title":"Miniaturized platform with on-chip strain sensors for compression testing of arrayed materials","year":2012,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Deflection (physics); Elastomer; Membrane; Composite material; Silicone; Compression (physics); Microelectromechanical systems; Chip; Stiffness; Carbon nanotube; Biomedical engineering; Nanotechnology; Engineering; Electrical engineering; Optics","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":[0.0004418035,0.0009798926,0.0008663404,0.0006809505,0.0002393149,0.0004358935,0.001855888,0.0009822985,0.002465935],"category_scores_gemma":[0.0007225799,0.0005793982,0.0004317696,0.0002729446,0.0003623354,0.0008961313,0.0008333618,0.0009147583,0.0008781462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003592714,"about_ca_system_score_gemma":0.000461825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004392953,"about_ca_topic_score_gemma":0.0009477915,"domain_scores_codex":[0.9992318,0.00007251139,0.00004249744,0.0001660319,0.0004264057,0.00006066834],"domain_scores_gemma":[0.9995213,0.0001110701,0.000087755,0.0001135571,0.000111634,0.00005484261],"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":[0.0000436999,0.0000729207,0.0001413208,0.00006196643,0.00001370094,0.00005860036,0.00001288519,0.0008049581,0.9916999,0.0001596862,0.0002116488,0.006718638],"study_design_scores_gemma":[0.00003906222,0.0007505058,0.001838985,0.000008802853,0.00003812867,0.0002560609,0.00001796138,0.01764808,0.9748616,0.0001024081,0.0043906,0.00004776336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5908103,0.002085546,0.3953639,0.00056014,0.0006640595,0.00139502,0.001341345,0.003636552,0.004143215],"genre_scores_gemma":[0.4606928,0.0006379008,0.5325637,0.0002802465,0.0001301004,0.001412415,0.0009681682,0.0001130444,0.003201588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002465935,"threshold_uncertainty_score":0.008249342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03844497609977541,"score_gpt":0.2575076537078044,"score_spread":0.219062677608029,"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."}}