{"id":"W2165002286","doi":"10.1103/physreva.84.063623","title":"Atom-interferometric techniques for measuring uniform magnetic field gradients and gravitational acceleration","year":2011,"lang":"en","type":"article","venue":"Physical Review A","topic":"Cold Atom Physics and Bose-Einstein Condensates","field":"Physics and Astronomy","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Atom interferometer; Astronomical interferometer; Interferometry; Physics; Magnetic field; Acceleration; Gravitational acceleration; Optics; Field (mathematics); SIGNAL (programming language); Pulse (music); Laser; Grating; Atomic physics; Computational physics; Gravitational field; Classical mechanics; Quantum mechanics","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":[0.0005400698,0.000546779,0.0002511437,0.0004658745,0.0003526258,0.0002386966,0.001009381,0.0005101086,0.0009092712],"category_scores_gemma":[0.0007453734,0.0003039936,0.0001863661,0.0004427037,0.00069076,0.0004468111,0.0005547521,0.0008738163,0.0002857769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004313714,"about_ca_system_score_gemma":0.0004063879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005781829,"about_ca_topic_score_gemma":0.001360917,"domain_scores_codex":[0.9996759,0.00007453669,0.00001555075,0.00005312002,0.000139546,0.00004145558],"domain_scores_gemma":[0.999684,0.0001215607,0.0000858731,0.0000604817,0.00002986214,0.00001814957],"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":[0.00006554572,0.00003993062,0.0007226058,0.00007992451,0.00001371453,0.00002781228,0.00003643332,0.0006894837,0.9864281,0.004096739,0.00009400523,0.007705803],"study_design_scores_gemma":[0.00002098028,0.0002366038,0.003491141,0.000005715258,0.00002396289,0.0001652747,0.00002526047,0.01212462,0.9798239,0.001092849,0.002955654,0.00003404011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4957915,0.003509576,0.4926519,0.000536095,0.0002250362,0.0002758662,0.0002950213,0.000949305,0.005765791],"genre_scores_gemma":[0.7425805,0.001524828,0.2539992,0.0001495247,0.00008333384,0.0003013221,0.000128014,0.00004690064,0.001186449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001009381,"threshold_uncertainty_score":0.00312984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04850790327840977,"score_gpt":0.2956625435843197,"score_spread":0.2471546403059099,"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."}}