{"id":"W3035916058","doi":"10.1103/physrevresearch.2.043110","title":"From magnetoelectric response to optical activity","year":2020,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Chemical and Physical Properties of Materials","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multipole expansion; Magnetoelectric effect; Polarization (electrochemistry); Magnetization; Electromagnetic field; Magnetic moment; Electromagnetic theory","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":[0.0002618094,0.0003534015,0.0002880976,0.0004498687,0.0002362619,0.0009456222,0.0006330868,0.000569239,0.001696969],"category_scores_gemma":[0.0008878143,0.000173999,0.0002987438,0.0002145821,0.001091366,0.001254941,0.0007089454,0.0007920763,0.0003332559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000361654,"about_ca_system_score_gemma":0.0002470613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001525253,"about_ca_topic_score_gemma":0.000199829,"domain_scores_codex":[0.9998974,0.00002509663,0.000004520641,0.00001797678,0.00004179731,0.00001319608],"domain_scores_gemma":[0.9998181,0.00010777,0.00001333061,0.00002312087,0.00002655978,0.00001108854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003733758,0.00006701557,0.0002311344,0.0001722034,0.00001656664,0.00009460559,0.0001448761,0.01372301,0.02328693,0.9353356,0.001669711,0.02522102],"study_design_scores_gemma":[0.00002243727,0.0001072887,0.0004707469,0.00007313414,0.00001810392,0.0001827054,0.0001349664,0.09691566,0.02605277,0.8534892,0.02249586,0.00003717872],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1232767,0.01106128,0.6247699,0.01585912,0.001782772,0.000159131,0.0001477879,0.0006346487,0.2223088],"genre_scores_gemma":[0.9176931,0.008408913,0.04491805,0.001867784,0.0005440372,0.00009451339,0.00005010524,0.0001013009,0.02632218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001696969,"threshold_uncertainty_score":0.005676925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437391190450999,"score_gpt":0.4244895324938796,"score_spread":0.2807504134487797,"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."}}