{"id":"W2018267290","doi":"10.1023/a:1010197115003","title":"Thermal Characterization of Passivated Nanometer Size Aluminium Powders","year":2000,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Thermal and Kinetic Analysis","field":"Materials Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada; Natural Resources Canada","funders":"","keywords":"Thermal analysis; Calorimetry; Differential scanning calorimetry; Isothermal process; Materials science; Analytical Chemistry (journal); Chemistry; Thermodynamics; Thermal; Chromatography","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":[0.0002363588,0.0002044437,0.0003831599,0.0002282253,0.000246227,0.0003311653,0.0003744119,0.0004023818,0.001501004],"category_scores_gemma":[0.0004331405,0.0002111372,0.0002191284,0.0002274364,0.0002327683,0.0002845564,0.0001068119,0.0003304197,0.000402647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002563161,"about_ca_system_score_gemma":0.0001558313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004390424,"about_ca_topic_score_gemma":0.0006348977,"domain_scores_codex":[0.9997795,0.00001670534,0.00001829049,0.00004686667,0.0001075949,0.0000310822],"domain_scores_gemma":[0.9997944,0.00006455274,0.00003860466,0.00003111924,0.00006204294,0.000009151806],"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":[0.00009041802,0.000008356054,0.0001851671,0.00004030907,0.00000399941,0.00003659886,0.00002723874,0.00009989205,0.998395,0.00004688124,0.00004800457,0.00101803],"study_design_scores_gemma":[0.000009566786,0.0001148055,0.004647532,0.000005067178,0.000009154828,0.00009876463,0.00003198932,0.0007182132,0.9931189,0.00002560285,0.001216606,0.00000380181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911129,0.001290972,0.004269091,0.00008154396,0.00003361585,0.00003755416,0.000579681,0.00009659402,0.002498048],"genre_scores_gemma":[0.9946967,0.0003319718,0.002682251,0.0000324348,0.000008158756,0.00003013946,0.000435365,0.00003645328,0.00174646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001501004,"threshold_uncertainty_score":0.005021334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005095687423723123,"score_gpt":0.2033253658102007,"score_spread":0.1982296783864776,"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."}}