{"id":"W1650304525","doi":"10.1063/1.373159","title":"A Preisach analysis of a reentrant ferromagnet Fe0.65Ni0.23Cr0.12","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Condensed matter physics; Ferromagnetism; Remanence; Reentrancy; Curvature; Hysteresis; Demagnetizing field; Magnetic hysteresis; Materials science; Magnetization; Physics; Magnetic field; Geometry; Quantum mechanics; Mathematics","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":[0.00009616191,0.0001342893,0.0001892219,0.0003398657,0.0003154628,0.0001373207,0.000361094,0.0001854134,0.001117408],"category_scores_gemma":[0.0003513146,0.00011066,0.00009849702,0.0002067843,0.0003796903,0.0001645704,0.00008371688,0.0002037131,0.0001454179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003613116,"about_ca_system_score_gemma":0.0001435602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005029931,"about_ca_topic_score_gemma":0.007014688,"domain_scores_codex":[0.9999574,0.000002367245,8.965063e-7,0.00001293723,0.00001587033,0.00001040405],"domain_scores_gemma":[0.9998736,0.00003792812,0.00001934391,0.00001806,0.00003832437,0.00001269573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002824492,0.00004162718,0.00221373,0.0001106047,0.00002123063,0.0002896802,0.0001737827,0.009124817,0.9827127,0.001207909,0.0001791412,0.003642346],"study_design_scores_gemma":[0.00007206133,0.0008399941,0.05063137,0.00001437657,0.00004148142,0.0003878329,0.0001834061,0.09901589,0.844798,0.0009473426,0.003034331,0.0000338231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997165,0.00009090274,0.00148934,0.00002521365,0.00000494626,0.00001266561,0.00008648807,0.00004462903,0.001080674],"genre_scores_gemma":[0.9977849,0.0000448248,0.001077695,0.000007586038,0.000002091401,0.000004645264,0.0001323462,0.00001062126,0.0009352863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005029931,"threshold_uncertainty_score":0.0100013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005941929339964565,"score_gpt":0.2144843150618232,"score_spread":0.2085423857218587,"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."}}