{"id":"W2144158212","doi":"10.1007/s10973-007-8520-y","title":"Preparation, thermal, XRD, chemical and FTIR spectral analysis of NiMn2O4 nanoparticles and respective precursor","year":2007,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of New Brunswick","funders":"","keywords":"Thermogravimetric analysis; Thermal decomposition; Fourier transform infrared spectroscopy; Metal; Thermal analysis; Isothermal process; Differential thermal analysis; Materials science; Thermogravimetry; Decarboxylation; Hydrazine (antidepressant); Chemistry; Inorganic chemistry; Nuclear chemistry; Chemical engineering; Thermal; Organic chemistry; Catalysis; Metallurgy","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":[0.001471195,0.0002045442,0.000945522,0.0007823489,0.00009996932,0.00008320697,0.0001785192,0.0001011189,0.0003355693],"category_scores_gemma":[0.00009524596,0.000142654,0.0004145261,0.0017092,0.0003228593,0.0002470118,0.00008682268,0.0001504101,0.000001628259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003093334,"about_ca_system_score_gemma":0.00002543487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001783214,"about_ca_topic_score_gemma":0.00007275067,"domain_scores_codex":[0.9979684,0.0001342697,0.0008755075,0.0003029981,0.0004438753,0.0002748866],"domain_scores_gemma":[0.9983737,0.0002258232,0.0007086239,0.0002032796,0.000252853,0.0002356943],"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":[0.000646215,0.000125642,0.07408254,0.00001234781,0.004114497,0.00001314171,0.0008319299,0.000271603,0.9182167,0.0001329002,0.00001073726,0.001541744],"study_design_scores_gemma":[0.0003970327,0.0002263106,0.4555876,0.00001182664,0.01289781,0.00001439119,0.0005272292,0.001067549,0.5289515,0.0001171252,0.00002893317,0.0001726385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968595,0.002105323,0.0005943319,0.00009894746,0.00003683145,0.00005220127,0.00001680699,0.000008090132,0.0002279969],"genre_scores_gemma":[0.998233,0.0001241856,0.001374663,0.00004394581,0.0001309785,7.197345e-7,0.000002177162,0.000008921603,0.00008141506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3892651,"threshold_uncertainty_score":0.5817261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00783149311235488,"score_gpt":0.2676072284553576,"score_spread":0.2597757353430027,"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."}}