{"id":"W2284340309","doi":"10.1103/physrevx.6.021001","title":"Ultralow-Noise SiN Trampoline Resonators for Sensing and Optomechanics","year":2016,"lang":"en","type":"article","venue":"Physical Review X","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canada Foundation for Innovation; CMC Microsystems; Natural Sciences and Engineering Research Council of Canada; McGill University; Fonds de recherche du Québec – Nature et technologies; Alfred P. Sloan Foundation","keywords":"Optomechanics; Resonator; Trampoline; Noise (video); Physics; Optoelectronics; Computer science","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":[0.0006513766,0.0005001668,0.0002747513,0.0002333362,0.0002668931,0.0006812136,0.0006423257,0.000744468,0.003154697],"category_scores_gemma":[0.0006002674,0.0003246221,0.0001627988,0.0002582168,0.0009450944,0.00114314,0.0003875134,0.001061584,0.001136644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003541903,"about_ca_system_score_gemma":0.0002972361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002501765,"about_ca_topic_score_gemma":0.0009461053,"domain_scores_codex":[0.9995994,0.0000426894,0.0000120844,0.00008744173,0.0002245926,0.0000338067],"domain_scores_gemma":[0.9998047,0.00008736282,0.00002626777,0.00002568611,0.00004694044,0.00000912269],"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":[0.00009821255,0.00003216483,0.0004096,0.0005031402,0.00001617275,0.0001634791,0.0001177497,0.0006352622,0.9018064,0.04669345,0.00288766,0.04663677],"study_design_scores_gemma":[0.00005532997,0.0004687859,0.001304343,0.00008496645,0.00003014005,0.0005609787,0.0001922365,0.01036618,0.849092,0.00933791,0.1284447,0.00006240305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4080767,0.2072266,0.2794855,0.006032334,0.005238469,0.0002243432,0.000452681,0.001511841,0.09175149],"genre_scores_gemma":[0.8518687,0.03609326,0.08379034,0.0009426287,0.0005332371,0.00008739633,0.0002602177,0.0000802055,0.02634398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003154697,"threshold_uncertainty_score":0.01055348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443806411285154,"score_gpt":0.3078047882951654,"score_spread":0.2933667241823139,"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."}}