{"id":"W2656214860","doi":"10.1039/c7cp02692g","title":"Investigation of the effects of phase transformations in micro and nano aluminum powders on kinetics of oxidation using thermogravimetric analysis","year":2017,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermogravimetric analysis; Kinetics; Phase (matter); Nano-; Aluminium; Transformation (genetics); Chemical engineering; Materials science; Chemistry; Shell (structure); Metallurgy; Organic chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003141326,0.0002767744,0.0002994396,0.000249697,0.000139678,0.0002705104,0.0002562318,0.000336608,0.001182186],"category_scores_gemma":[0.0005620959,0.0002339546,0.0003627469,0.00028383,0.0002423213,0.0003268363,0.0001260765,0.0005864961,0.0003226644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096019,"about_ca_system_score_gemma":0.0001446465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008178728,"about_ca_topic_score_gemma":0.001394441,"domain_scores_codex":[0.9996967,0.00002824327,0.00002205449,0.00007232918,0.0001451327,0.00003554941],"domain_scores_gemma":[0.9996743,0.0001602544,0.00006079148,0.00002688329,0.00006765436,0.00001014584],"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":[0.00006959384,0.0000170603,0.0004455765,0.00007456126,0.000007937508,0.00003074159,0.00004694749,0.0002935445,0.9968052,0.00007145679,0.00002558699,0.002111773],"study_design_scores_gemma":[0.00000133508,0.00008481998,0.002116624,0.000003454905,0.000007614116,0.00003332847,0.00002244597,0.001734077,0.9955919,0.00002780306,0.0003725449,0.00000410846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917372,0.001344985,0.005002347,0.00005673242,0.0000287918,0.00002568892,0.0003462131,0.00006429575,0.00139362],"genre_scores_gemma":[0.9944085,0.0008945515,0.003286678,0.00002450272,0.000005775248,0.00002889847,0.0002120047,0.00002750685,0.001111433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001182186,"threshold_uncertainty_score":0.003954828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428351578991741,"score_gpt":0.2579247373003324,"score_spread":0.243641221510415,"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."}}