{"id":"W1980113301","doi":"10.1016/j.cryogenics.2014.03.013","title":"AMR thermodynamics: Semi-analytic modeling","year":2014,"lang":"en","type":"article","venue":"Cryogenics","topic":"Magnetic and transport properties of perovskites and related materials","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Magnetic refrigeration; Regenerative heat exchanger; Work (physics); Thermodynamics; Waveform; Power (physics); Computer science; Magnetic field; Materials science; Physics; Heat exchanger","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":[0.001746237,0.0009376018,0.002214895,0.001347217,0.001326065,0.001752879,0.004568561,0.002779105,0.009169532],"category_scores_gemma":[0.005625395,0.0009425989,0.001689536,0.001416659,0.0020824,0.003766526,0.00163137,0.001924856,0.002170301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002613678,"about_ca_system_score_gemma":0.001852987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01551904,"about_ca_topic_score_gemma":0.009551889,"domain_scores_codex":[0.9993382,0.0002798247,0.00002189116,0.00007030296,0.0001859555,0.0001037361],"domain_scores_gemma":[0.9978548,0.001262467,0.0001318968,0.0003061527,0.0003329111,0.0001116745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002613181,0.00008814997,0.0003056903,0.0001763057,0.00002904192,0.0001037731,0.0001034162,0.7412807,0.0008988386,0.2485998,0.004093192,0.004294957],"study_design_scores_gemma":[0.000005573084,0.000002216004,0.00005558108,0.000005968131,0.000003244408,0.00001266925,0.000008479957,0.9817165,0.0001170911,0.01733825,0.0007284727,0.000005968068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.076993,0.003770288,0.7508324,0.003900536,0.0004067594,0.0003462245,0.002779938,0.002347647,0.1586231],"genre_scores_gemma":[0.8782437,0.00208413,0.0636576,0.001237565,0.0005418971,0.00108026,0.001534938,0.001809384,0.04981053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01551904,"threshold_uncertainty_score":0.03085744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059115468535466,"score_gpt":0.2011118110486558,"score_spread":0.1905206563633012,"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."}}