{"id":"W1969551073","doi":"10.1063/1.373571","title":"Ion-beam modification of Co/Ag multilayers II: Variation of structural and magnetic properties with Co layer thickness","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Superparamagnetism; Materials science; Ferromagnetism; Magnetoresistance; Magnetization; Giant magnetoresistance; Condensed matter physics; Texture (cosmology); Diffraction; Layer (electronics); Ion beam-assisted deposition; Analytical Chemistry (journal); Ion; Ion beam; Composite material; Chemistry; Magnetic field; Optics","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":[0.0000710127,0.0002456363,0.0002257723,0.0001694064,0.0001749299,0.0002086466,0.000185351,0.0002029425,0.0005805132],"category_scores_gemma":[0.0001990459,0.0001785125,0.0001432077,0.0001405808,0.0001315983,0.0001342224,0.0001362565,0.0001810269,0.000147127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002608036,"about_ca_system_score_gemma":0.00009746265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846652,"about_ca_topic_score_gemma":0.001867334,"domain_scores_codex":[0.9999167,0.000005754429,0.00000559171,0.00001864243,0.00002293467,0.00003045731],"domain_scores_gemma":[0.9998848,0.00001796365,0.00003909407,0.00001613049,0.00002526644,0.00001663822],"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":[0.00004744067,0.000003432558,0.000139354,0.000009510663,0.000003275055,0.00001443064,0.000005648209,0.00003942956,0.9995111,0.000004423561,0.000007010972,0.0002150022],"study_design_scores_gemma":[0.000003462243,0.000054146,0.002786969,0.000001231834,0.00001077695,0.00003742808,0.000008972089,0.0002726968,0.9966329,0.000002772456,0.0001868627,0.000001765887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989783,0.0001850972,0.0003869679,0.00001235261,0.000004854264,0.000005552078,0.00006809048,0.00002816852,0.0003306714],"genre_scores_gemma":[0.9983726,0.0001381023,0.0007914896,0.00001076418,0.000002282846,0.000007481297,0.0001273443,0.00001831561,0.0005316037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001846652,"threshold_uncertainty_score":0.003671825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426930715981138,"score_gpt":0.2219602678986152,"score_spread":0.2076909607388038,"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."}}