{"id":"W2068362270","doi":"10.1109/tmag.2013.2258028","title":"Definition of Magnetic Exchange Length","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":222,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Micromagnetics; Confusion; Condensed matter physics; Magnetization; Magnet; Exchange interaction; Magnetostatics; Physics; Statistical physics; Computer science; Materials science; Magnetic field; Ferromagnetism; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000645219,0.0001980989,0.0002017742,0.0001195428,0.00008998322,0.00003835288,0.0002220276,0.00006329845,0.03318084],"category_scores_gemma":[0.000001755123,0.0001907559,0.0001312257,0.0001595514,0.0001314356,0.0001164646,0.000002745091,0.0002219485,0.0008032204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001354631,"about_ca_system_score_gemma":0.00002763647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005424578,"about_ca_topic_score_gemma":0.000007052839,"domain_scores_codex":[0.9988763,0.00005095445,0.0003277466,0.0002248443,0.0002421033,0.0002780018],"domain_scores_gemma":[0.9992081,0.00006446039,0.00008463836,0.0004154186,0.0001233995,0.0001039692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007272969,0.00165518,0.0003410162,0.0001877845,0.0001008806,0.000001673112,0.001073458,0.0006134941,0.02821984,0.005465551,0.007666866,0.9546015],"study_design_scores_gemma":[0.01455544,0.01912699,0.01648414,0.000729467,0.001681392,0.00003104768,0.004813872,0.02688584,0.7068316,0.1723081,0.03073543,0.00581674],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3875216,0.000574433,0.3410436,0.001202514,0.001882124,0.001762674,0.0002911164,0.0002237338,0.2654982],"genre_scores_gemma":[0.9840387,0.00003465059,0.01148863,0.00009423133,0.00006815317,0.0001441141,0.000006153999,0.00003152724,0.004093806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9487848,"threshold_uncertainty_score":0.9999748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808793420508908,"score_gpt":0.2062904790077821,"score_spread":0.1882025448026931,"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."}}