{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454752,0.000265291,0.000220639,0.0003334882,0.0002268856,0.0003304128,0.0002897324,0.0002066671,0.001547177],"category_scores_gemma":[0.000427268,0.0001390838,0.00006986617,0.0001790275,0.0005071336,0.0002577829,0.0002471026,0.0002461514,0.0002481411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003478752,"about_ca_system_score_gemma":0.0003397143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001014928,"about_ca_topic_score_gemma":0.00210899,"domain_scores_codex":[0.9998499,0.00001362304,0.000005546179,0.00003370654,0.00006668786,0.00003041852],"domain_scores_gemma":[0.9996531,0.00007523142,0.0001079811,0.00005383299,0.00007578229,0.00003406634],"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":[0.00002767946,0.00000913763,0.0002819753,0.00001649752,9.358636e-7,0.00001431444,0.00003581627,0.00006487108,0.9980354,0.000311364,0.00004430503,0.001157775],"study_design_scores_gemma":[0.00002467829,0.0001018753,0.00717904,0.000005278021,0.000002664651,0.000135831,0.0000754369,0.00709666,0.9836802,0.0001899577,0.001489333,0.00001912159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851567,0.000171331,0.01171295,0.00006449966,0.00003224142,0.00004155219,0.0003207014,0.0001369827,0.002363042],"genre_scores_gemma":[0.9893134,0.00005102562,0.009529961,0.00001169241,0.000006439294,0.00003371681,0.00006406911,0.00002457373,0.0009650465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001547177,"threshold_uncertainty_score":0.005175829,"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."}}