{"id":"W2955822790","doi":"10.1007/s10948-019-05184-8","title":"Effect of Carbon Doping on the Structure and Magnetocaloric Properties of Mn1.15Fe0.80P0.50Si0.50 Compounds","year":2019,"lang":"en","type":"article","venue":"Journal of Superconductivity and Novel Magnetism","topic":"Magnetic and transport properties of perovskites and related materials","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Guangzhou Science, Technology and Innovation Commission","keywords":"Magnetic refrigeration; Materials science; Curie temperature; Impurity; Adiabatic process; Doping; Phase transition; Carbon fibers; Condensed matter physics; Phase (matter); Magnetic field; Magnetization; Thermodynamics; Analytical Chemistry (journal); Ferromagnetism; Chemistry; Composite material","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":[0.0008967092,0.000236557,0.0007043454,0.0001045371,0.00008271539,0.00005296057,0.0002057295,0.0001580264,0.0004219511],"category_scores_gemma":[0.00005123999,0.0001211857,0.00009099822,0.00008355841,0.0004396982,0.0003211945,0.00006479786,0.0002746728,0.000001210605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001066117,"about_ca_system_score_gemma":0.00004466353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004126083,"about_ca_topic_score_gemma":0.000006353698,"domain_scores_codex":[0.9984653,0.0001571323,0.0005974291,0.0002137428,0.0003485411,0.0002178475],"domain_scores_gemma":[0.9990962,0.0001797674,0.0003196272,0.0002098978,0.0001175103,0.00007695351],"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":[0.0005673553,0.00006685864,0.0008958444,0.0008921301,0.00003020686,0.000003157888,0.0004994976,0.00003231453,0.9956956,0.0004185153,0.000007799144,0.0008907302],"study_design_scores_gemma":[0.001766714,0.005342697,0.00577555,0.0008042421,0.000172072,0.0002018277,0.0002793108,0.00006917211,0.9849306,0.0002033243,0.0002328257,0.0002216615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939609,0.004354302,0.000005424935,0.0003750936,0.0007040181,0.0003426814,0.00002373051,0.000006381512,0.0002275237],"genre_scores_gemma":[0.9990698,0.0005384209,0.0001329851,0.00003225227,0.00008699058,0.000001787964,6.699236e-7,0.00001529923,0.0001218102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076499,"threshold_uncertainty_score":0.494181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248111321845916,"score_gpt":0.1983551113311003,"score_spread":0.1858739981126411,"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."}}