{"id":"W2913320532","doi":"10.1007/s00542-018-04289-9","title":"Fluid load augmented micro balance","year":2019,"lang":"en","type":"article","venue":"Microsystem Technologies","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University of Edmonton","keywords":"Cantilever; Deflection (physics); Beam (structure); Mechanics; Materials science; Polydimethylsiloxane; Dimensionless quantity; Wind tunnel; Composite material; Optics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001531361,0.0004420046,0.0004608694,0.0003105235,0.0004993277,0.001032,0.0005565831,0.0005925478,0.01311962],"category_scores_gemma":[0.000355545,0.0001631155,0.0001642894,0.0001799334,0.00039807,0.001062617,0.001696363,0.00042259,0.001728753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002288228,"about_ca_system_score_gemma":0.0003155569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005667795,"about_ca_topic_score_gemma":0.000829134,"domain_scores_codex":[0.9998131,0.00001672593,0.000006121881,0.00003764494,0.0001050514,0.00002148532],"domain_scores_gemma":[0.999898,0.00002056396,0.00001269202,0.00001904629,0.00003643067,0.00001330101],"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":[0.002230471,0.0003755398,0.001141271,0.0002439128,0.00004987248,0.0003526168,0.0002830045,0.07004426,0.6582899,0.02910493,0.007248366,0.2306358],"study_design_scores_gemma":[0.0002143216,0.0007073912,0.002199261,0.00003356739,0.00005370323,0.0001564647,0.0001653788,0.7217291,0.2190079,0.0110608,0.04461194,0.00006017322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3909515,0.0008772118,0.4958746,0.001505752,0.002070419,0.000288553,0.0005381189,0.004425311,0.1034685],"genre_scores_gemma":[0.943397,0.0001522032,0.02026199,0.0001784445,0.0001887738,0.00008496278,0.000108402,0.0001922501,0.03543587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01311962,"threshold_uncertainty_score":0.04388946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004011752720366604,"score_gpt":0.1861535675468506,"score_spread":0.182141814826484,"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."}}