{"id":"W2554261385","doi":"10.1063/1.4967996","title":"Thickness-dependent electronic structure modulation of ferromagnetic films on shape memory alloy substrates based on a pure strain effect","year":2016,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Beijing Nova Program; National Science Foundation","keywords":"Materials science; Spintronics; Ferromagnetism; Strain (injury); Condensed matter physics; Strain engineering; Substrate (aquarium); Electronic structure; X-ray photoelectron spectroscopy; Magnetic anisotropy; Optoelectronics; Nuclear magnetic resonance; Magnetization; Magnetic field","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002952515,0.000340918,0.0003164543,0.00008617946,0.0001179838,0.00004671738,0.0003721539,0.0001125115,0.0006936932],"category_scores_gemma":[0.00001362703,0.000248578,0.0001027219,0.000187697,0.000138134,0.0001755269,0.00001685535,0.0002239552,0.0001322256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001004088,"about_ca_system_score_gemma":0.00006594311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005291525,"about_ca_topic_score_gemma":0.000008430238,"domain_scores_codex":[0.9979618,0.0001286054,0.0003280921,0.0004638533,0.0006343425,0.0004833753],"domain_scores_gemma":[0.9987978,0.0003929723,0.0001899339,0.0005136998,0.00003488469,0.00007069243],"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":[0.0001577447,0.00006122551,0.00002722953,0.00005752314,0.00001404255,0.000001590233,0.0001323799,0.1267044,0.8685779,0.002460915,0.00007197558,0.00173308],"study_design_scores_gemma":[0.001655614,0.0003680721,0.003438029,0.00007805203,0.00004927952,0.000001630737,0.00002184968,0.009774697,0.9834135,0.0008484541,0.000005910314,0.0003448906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960115,0.000003139652,0.001575109,0.0008328605,0.0001406992,0.0007383157,0.0001942684,0.0001168372,0.000387255],"genre_scores_gemma":[0.998116,8.194152e-7,0.0002072954,0.001353013,0.00009692506,0.00009497839,0.00007569671,0.00004621831,0.000009095276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169297,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007435966660660075,"score_gpt":0.2131914941216162,"score_spread":0.2057555274609561,"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."}}