{"id":"W2971998295","doi":"10.1088/1367-2630/ab4386","title":"Two-axis cavity optomechanical torque characterization of magnetic microstructures","year":2019,"lang":"en","type":"article","venue":"New Journal of Physics","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta; University of Calgary","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Torque; Magnetic moment; Torsion (gastropod); Anisotropy; Magnetic field; Characterization (materials science); Magnetic anisotropy; Perpendicular","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009519265,0.000120836,0.0003220979,0.00002474959,0.00001972941,0.00002115903,0.0002050699,0.00004009275,0.001001921],"category_scores_gemma":[0.00001027201,0.0000945358,0.0001975592,0.0001274925,0.00002239995,0.0001378533,0.00005011622,0.0002427783,0.00002650761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001479985,"about_ca_system_score_gemma":0.000104779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003181723,"about_ca_topic_score_gemma":2.632083e-7,"domain_scores_codex":[0.9990384,0.00003657721,0.0003857465,0.0001104118,0.0002679037,0.0001609767],"domain_scores_gemma":[0.9991507,0.00005829463,0.0003272906,0.0001471927,0.0001515106,0.0001650194],"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":[0.00007026183,0.0001134873,0.003573942,0.00001713501,0.00003928987,9.701207e-7,0.00006465583,0.00002127023,0.8149951,0.09772994,0.00004954005,0.08332449],"study_design_scores_gemma":[0.00255174,0.0008664652,0.01402084,0.0001365294,0.0001100047,0.000006508031,0.0000512923,0.0006060401,0.8744674,0.1037744,0.00308564,0.0003230601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839954,0.00002404974,0.0149715,0.00007339605,0.0003411558,0.00008654211,0.00002111578,0.000003320074,0.0004834696],"genre_scores_gemma":[0.9976397,0.000004096757,0.001334258,0.00004826608,0.0007319161,3.630576e-7,0.000007280156,0.00001244567,0.0002216472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08300143,"threshold_uncertainty_score":0.9999113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006207329233041748,"score_gpt":0.2395622601323877,"score_spread":0.233354930899346,"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."}}