{"id":"W2001518108","doi":"10.1038/nature14349","title":"Phonon counting and intensity interferometry of a nanomechanical resonator","year":2015,"lang":"en","type":"article","venue":"Nature","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":214,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Kavli Nanoscience Institute, California Institute of Technology; Jet Propulsion Laboratory; Defense Advanced Research Projects Agency; Institute for Quantum Information and Matter, California Institute of Technology; National Aeronautics and Space Administration; California Institute of Technology; Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Interferometry; Resonator; Optics; Intensity (physics); Phonon; Physics; Optoelectronics; Condensed matter physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008685767,0.00030889,0.0003505983,0.000746752,0.0004653146,0.0005820082,0.001538102,0.000758038,0.002277551],"category_scores_gemma":[0.001668175,0.0003669924,0.0002258154,0.0004758573,0.001044872,0.001165366,0.0006316421,0.0007320302,0.0003244278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004495502,"about_ca_system_score_gemma":0.0003376714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004968385,"about_ca_topic_score_gemma":0.0007883718,"domain_scores_codex":[0.999223,0.0001602106,0.00002237156,0.0001794874,0.0003474756,0.00006749728],"domain_scores_gemma":[0.9992313,0.0004038996,0.0001031618,0.00009673,0.00009473956,0.00007021424],"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":[0.0003638705,0.0001158543,0.003379608,0.00005278809,0.00002568438,0.0001697138,0.0002768643,0.001585999,0.9712052,0.01273043,0.0003307519,0.009763237],"study_design_scores_gemma":[0.0001505973,0.0004982841,0.02083559,0.00002745821,0.00006383147,0.0008761437,0.0001766499,0.1999419,0.7654368,0.007835406,0.004017961,0.0001394741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140198,0.0004212786,0.07468887,0.0007166885,0.00009931965,0.00005585244,0.0002048187,0.000268958,0.009524417],"genre_scores_gemma":[0.9690347,0.0001047281,0.02831844,0.00008776667,0.00005315384,0.00002690837,0.00007054483,0.00004197238,0.002261722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002277551,"threshold_uncertainty_score":0.007619202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261709440961953,"score_gpt":0.2573765355045835,"score_spread":0.244759441094964,"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."}}