{"id":"W4319078009","doi":"10.1063/9.0000408","title":"Constituent contribution to the magnetocrystalline anisotropy in Mn(Al1−xGax)","year":2023,"lang":"en","type":"article","venue":"AIP Advances","topic":"Magnetic Properties of Alloys","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Magnetocrystalline anisotropy; Tetragonal crystal system; Magnetic anisotropy; Condensed matter physics; Materials science; Coercivity; Thermal stability; Magnetic moment; Formula unit; Anisotropy; Anisotropy energy; Phase (matter); Nuclear magnetic resonance; Chemistry; Crystallography; Magnetic field; Magnetization; Crystal structure; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005115978,0.00012747,0.000167595,0.00006857928,0.0001213583,0.00006739167,0.0004137179,0.00003366129,0.0005358144],"category_scores_gemma":[0.0003909632,0.00008566542,0.00002858804,0.0004107764,0.0001493962,0.000225857,0.0001776623,0.00007545443,0.001250276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006111473,"about_ca_system_score_gemma":0.0000539715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000936106,"about_ca_topic_score_gemma":0.0005664873,"domain_scores_codex":[0.9986513,0.00007524373,0.000270642,0.0002988769,0.00028792,0.0004160258],"domain_scores_gemma":[0.9993719,0.0001119249,0.0000592368,0.0003068899,0.00007575984,0.00007425545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003270397,0.0001018581,0.002061472,0.00005871136,0.000006565164,0.00009323338,0.0004773388,0.009927783,0.9368939,0.0201225,0.01879265,0.0111369],"study_design_scores_gemma":[0.000738188,0.0004030179,0.004768898,0.0000652677,0.00000897717,0.000009265954,0.0002417001,0.001092162,0.06007931,0.002815317,0.9294983,0.0002796481],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793642,0.002279352,0.00195709,0.01269722,0.001212919,0.0009148929,0.0001260606,0.000297161,0.001151133],"genre_scores_gemma":[0.9962431,0.0003696057,0.001486582,0.0009948204,0.0001395282,0.0001411234,0.00002349306,0.0000111404,0.0005905866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9107056,"threshold_uncertainty_score":0.9995274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043160463307806,"score_gpt":0.2529815863211057,"score_spread":0.2425499816880277,"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."}}