{"id":"W2370826617","doi":"","title":"Effect of Nitration Agents and Soft Wood Treatment on Nitrogen Content and Uniformity of Nitrocellulose","year":2014,"lang":"en","type":"article","venue":"Chinese Journal of Energetic Materials","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nitration; Nitrogen; Nitrocellulose; Chemistry; Lignin; Steam explosion; Cellulose; Softwood; Pulp and paper industry; Materials science; Organic chemistry; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002165042,0.0003455359,0.0001328455,0.0002005925,0.0001325477,0.0001849358,0.0001213542,0.0001633038,0.000809654],"category_scores_gemma":[0.0003574634,0.0001651637,0.0001638234,0.0001521315,0.0001733057,0.0001895719,0.0001348645,0.0002425356,0.0001212724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002127774,"about_ca_system_score_gemma":0.0001371592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639887,"about_ca_topic_score_gemma":0.003500893,"domain_scores_codex":[0.9997827,0.00003218619,0.00001875675,0.00006752575,0.00006007623,0.00003875604],"domain_scores_gemma":[0.9996927,0.00009281653,0.00008069164,0.00002908364,0.00005715469,0.00004751712],"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":[0.00006209286,0.000009674674,0.0003304838,0.00002508025,0.000004807286,0.00001983593,0.00001793884,0.00005836089,0.9985045,0.00002028399,0.000008021528,0.0009388587],"study_design_scores_gemma":[0.000002259273,0.00008287584,0.003593337,0.000001740312,0.000008964609,0.0000194263,0.00001033202,0.0001772504,0.9958029,0.000005348706,0.0002929715,0.00000250214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971427,0.0003808469,0.0009563005,0.000009437663,0.000008611228,0.00001156144,0.00006965825,0.00001977177,0.001401143],"genre_scores_gemma":[0.9961532,0.0003770454,0.001643294,0.00002846268,0.000004913708,0.00001563749,0.0001762275,0.00002331157,0.00157796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001639887,"threshold_uncertainty_score":0.003260732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731022323095829,"score_gpt":0.2849974056472654,"score_spread":0.2676871824163072,"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."}}