{"id":"W2087574918","doi":"10.1063/1.1853891","title":"Relationship between the magnetocaloric effect and sequential magnetic phase transitions in Ni-Mn-Ga alloys","year":2005,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Magnetic refrigeration; Metamagnetism; Materials science; Condensed matter physics; Magnetic shape-memory alloy; Phase transition; Martensite; Magnetic field; Entropy (arrow of time); Thermodynamics; Magnetization; Metallurgy; Magnetic anisotropy; Microstructure; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007287987,0.000138363,0.0002364263,0.00008154343,0.000171498,0.00008022211,0.0002051559,0.00005805126,0.00008530132],"category_scores_gemma":[0.00001817825,0.0001028738,0.0000708949,0.0002820911,0.0001239942,0.00037592,0.00001354692,0.0003591638,0.00005292889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006052087,"about_ca_system_score_gemma":0.0000632162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002190845,"about_ca_topic_score_gemma":0.00000900887,"domain_scores_codex":[0.9987716,0.0001029361,0.0005054938,0.0001125638,0.0003056755,0.000201747],"domain_scores_gemma":[0.999191,0.0003610968,0.0001767796,0.0001453001,0.00004245416,0.00008332338],"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":[0.001099839,0.001068052,0.006405022,0.0002859518,0.0000759984,0.00003921442,0.01763969,0.0668502,0.8287436,0.01696642,0.001506201,0.0593198],"study_design_scores_gemma":[0.05662156,0.006588682,0.2558634,0.0004723216,0.003543895,0.0006437397,0.002316888,0.03078697,0.5477301,0.08327996,0.00915025,0.003002142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993081,0.00007367928,0.005058464,0.0004368142,0.0001085113,0.0003065493,0.00002904928,0.00001595901,0.0008899265],"genre_scores_gemma":[0.9977959,0.00000508346,0.001484755,0.00009490086,0.00056591,0.00001855779,0.00000806518,0.00001447703,0.00001233252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2810135,"threshold_uncertainty_score":0.4195072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341374407132928,"score_gpt":0.2772878937007003,"score_spread":0.253874149629371,"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."}}