{"id":"W1518651262","doi":"10.1103/physreve.88.032407","title":"Phase-field-crystal model for magnetocrystalline interactions in isotropic ferromagnetic solids","year":2013,"lang":"en","type":"article","venue":"Physical Review E","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McGill University; Western University","funders":"Compute Canada; McGill University; National Science Foundation","keywords":"Condensed matter physics; Ferromagnetism; Magnetization; Materials science; Isotropy; Coercivity; Magnetocrystalline anisotropy; Misorientation; Grain boundary; Phase diagram; Phase (matter); Magnetic field; Physics; Magnetic anisotropy; Microstructure; Metallurgy; 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":[0.0002841124,0.0004143953,0.0005083116,0.0007528964,0.0006107937,0.0004820905,0.001258524,0.00112662,0.003468822],"category_scores_gemma":[0.0002904357,0.0001891245,0.0004056418,0.0006237027,0.0007222655,0.0008753464,0.0003950628,0.0006460611,0.0006603351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006298946,"about_ca_system_score_gemma":0.0008804028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002544851,"about_ca_topic_score_gemma":0.004134212,"domain_scores_codex":[0.9998958,0.00002384774,0.000005287601,0.00001184977,0.00004891297,0.00001440346],"domain_scores_gemma":[0.9999158,0.00003143981,0.0000119085,0.00001089022,0.00001938125,0.0000104772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001812675,0.00003866169,0.0001402101,0.0001018607,0.000006940153,0.0002601215,0.00007306954,0.07802927,0.01074527,0.9047943,0.001654764,0.004137345],"study_design_scores_gemma":[0.00004995068,0.0000761322,0.000294658,0.00002707829,0.000008747663,0.0003729209,0.00004171844,0.7076091,0.001823996,0.2706194,0.01905293,0.00002333909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08456153,0.007444102,0.7552304,0.003470183,0.0006635478,0.0003166864,0.0008621809,0.0003992121,0.1470522],"genre_scores_gemma":[0.7492859,0.005732706,0.1756262,0.0004826639,0.000405972,0.0007393168,0.0004479132,0.0002188044,0.06706055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003468822,"threshold_uncertainty_score":0.01160431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04421877740121058,"score_gpt":0.3542648394027226,"score_spread":0.3100460620015121,"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."}}