{"id":"W4417122907","doi":"10.1016/j.apsusc.2025.165522","title":"In situ GISAXS study of Permalloy thin film growth dynamics on self-organized nanorippled Si templates","year":2025,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Helmholtz Association; Department of Science and Technology, Ministry of Science and Technology, India; University of Petroleum and Energy Studies; Helmholtz-Zentrum Dresden-Rossendorf; Indian Institute of Science","keywords":"Grazing-incidence small-angle scattering; Permalloy; Magnetoresistance; Thin film; Scattering; Magnetic anisotropy; Anisotropy","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":[0.00005576536,0.0001965753,0.0001854647,0.00009606476,0.0001193995,0.0001873499,0.0001890558,0.0001559385,0.0009736977],"category_scores_gemma":[0.0001113132,0.0001499364,0.0001319777,0.0001425862,0.0001426512,0.0001612374,0.0001101016,0.0001872983,0.0001178104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002336149,"about_ca_system_score_gemma":0.0001060357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238552,"about_ca_topic_score_gemma":0.001716084,"domain_scores_codex":[0.9999501,0.000002841036,0.000002325512,0.00001666876,0.00001709688,0.00001097233],"domain_scores_gemma":[0.9999088,0.00002280794,0.00003367553,0.00000866488,0.00001650885,0.000009545468],"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":[0.00002886245,0.000005283018,0.0004431788,0.00002104108,0.000003984881,0.00007694436,0.00004118845,0.00030184,0.9984671,0.00004195866,0.000019403,0.000549308],"study_design_scores_gemma":[0.00000504853,0.00008601039,0.006865572,0.000002920322,0.000006233359,0.00007026339,0.00007189454,0.006741283,0.9857457,0.00002150767,0.0003782061,0.000005359444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988015,0.00008285836,0.0005046848,0.000009878782,0.000003138936,0.000002724228,0.0001096972,0.00003081835,0.0004547617],"genre_scores_gemma":[0.9982738,0.0001203597,0.0009542706,0.000004858749,0.00000255163,0.00000617559,0.0001094492,0.00001275012,0.0005157021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001238552,"threshold_uncertainty_score":0.003257334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004189804073896663,"score_gpt":0.2243170082911723,"score_spread":0.2201272042172757,"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."}}