{"id":"W1992829290","doi":"10.1063/1.1540135","title":"Growth and magnetic properties of epitaxial ultrathin Ni films on Cu(111) using Sb as a surfactant","year":2003,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Brockhouse Institute for Materials Research","funders":"","keywords":"Electron diffraction; Epitaxy; Materials science; Low-energy electron diffraction; Magnetization; Monolayer; Condensed matter physics; Diffraction; Ferromagnetism; Magnetism; Layer (electronics); Reflection high-energy electron diffraction; Thin film; Kerr effect; Analytical Chemistry (journal); Crystallography; Optics; Nanotechnology; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001274281,0.000277545,0.0002610977,0.0002296739,0.00021665,0.0003487974,0.0002283919,0.0002369798,0.0003758479],"category_scores_gemma":[0.0004431788,0.0002332432,0.00009666601,0.0002144841,0.000184362,0.0002766874,0.0002097035,0.0002896086,0.0001528727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527292,"about_ca_system_score_gemma":0.0001473644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020503,"about_ca_topic_score_gemma":0.004427399,"domain_scores_codex":[0.9998664,0.00001654573,0.00001322954,0.00002046831,0.00005145359,0.00003186634],"domain_scores_gemma":[0.999745,0.00005196361,0.00006755045,0.00002879199,0.00006841792,0.00003831585],"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":[0.00002449347,0.000006810146,0.0002135052,0.00002537899,0.000002430681,0.00002593746,0.00002498919,0.00006525814,0.9992066,0.00002045435,0.000009790705,0.0003744838],"study_design_scores_gemma":[0.000004155273,0.00005745363,0.002617931,0.000004654634,0.00000808321,0.00004358629,0.00002995136,0.001230645,0.9955447,0.000007698942,0.0004484464,0.000002681101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986956,0.000458615,0.0003223687,0.00001818768,0.0000058101,0.000004564185,0.00003985909,0.0000132539,0.0004416626],"genre_scores_gemma":[0.9965994,0.0005036338,0.002048965,0.000008525547,0.000006610765,0.00000836513,0.0001410151,0.00001381963,0.0006695197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003020503,"threshold_uncertainty_score":0.006005824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611125645386175,"score_gpt":0.2095510322241891,"score_spread":0.1934397757703274,"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."}}