{"id":"W4387566742","doi":"10.1016/j.physb.2023.415411","title":"Microstructure and magnetic properties in nanocrystalline Pr2Co7-xFex alloys: Experimental and theoretical study","year":2023,"lang":"en","type":"article","venue":"Physica B Condensed Matter","topic":"Magnetic Properties of Alloys","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Agence Universitaire de la Francophonie; Ministère de l’Enseignement Supérieur et de la Recherche Scientifique","keywords":"Nanocrystalline material; Materials science; Coercivity; Condensed matter physics; Grain size; Anisotropy; Curie temperature; Magnetic anisotropy; Microstructure; Magnetization; Saturation (graph theory); Density functional theory; Nuclear magnetic resonance; Magnetic field; Nanotechnology; Ferromagnetism; Physics; Metallurgy; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001969613,0.000269355,0.0003260963,0.00008940569,0.00009615049,0.0001914219,0.0002210571,0.00005750979,0.001543581],"category_scores_gemma":[0.00001990741,0.0002061129,0.00002590822,0.0001328472,0.0006810723,0.0001594429,0.0004362581,0.0001337226,0.0003069083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002039406,"about_ca_system_score_gemma":0.00002326368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005697735,"about_ca_topic_score_gemma":0.00001037227,"domain_scores_codex":[0.9983014,0.0001350278,0.0002886007,0.0005676429,0.0002715664,0.0004356972],"domain_scores_gemma":[0.9994414,0.00005341673,0.00004713979,0.000321452,0.0000354552,0.0001011007],"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":[0.0001245774,0.0001897937,0.0018354,0.000062903,0.000006092399,0.0000360451,0.003859114,0.000002661826,0.9924168,0.0002427385,0.00114163,0.00008225631],"study_design_scores_gemma":[0.005129212,0.001853205,0.1009873,0.0001537827,0.00006298909,0.00008178607,0.007242645,0.00106254,0.8792,0.002276963,0.0008197718,0.001129811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996792,0.0004202021,6.581644e-7,0.001455202,0.0001004459,0.0007152819,0.00001066034,0.0001086606,0.0003969515],"genre_scores_gemma":[0.9981851,0.000007465842,0.0001100619,0.0005953918,0.0000583215,0.0001175406,0.000003223767,0.00004137119,0.00088152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1132168,"threshold_uncertainty_score":0.9993691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089243189002154,"score_gpt":0.2275509653836454,"score_spread":0.2166585334936239,"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."}}