{"id":"W4412479437","doi":"10.1515/rams-2025-0119","title":"Advances in the development and characterization of combustible cartridge cases and propellants: Preparation, performance, and future prospects","year":2025,"lang":"en","type":"article","venue":"REVIEWS ON ADVANCED MATERIALS SCIENCE","topic":"Rocket and propulsion systems research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Cartridge; Propellant; Characterization (materials science); Materials science; Process engineering; Chemical engineering; Nanotechnology; Aerospace engineering; Engineering; 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":[0.0007674582,0.00008514678,0.0002008511,0.0001069451,0.0001062216,0.00006041506,0.00008542404,0.00001755874,0.000002435168],"category_scores_gemma":[0.00004020825,0.00005110921,0.000003408332,0.000363217,0.00007704053,0.0003644633,0.00003035651,0.00003371037,0.000001148691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000016152,"about_ca_system_score_gemma":0.00002871712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.722728e-7,"about_ca_topic_score_gemma":0.000004125624,"domain_scores_codex":[0.9992649,0.00004404329,0.0002817317,0.0001582563,0.0001328691,0.0001181742],"domain_scores_gemma":[0.9997516,0.00002614269,0.00005445669,0.0001081528,0.00003850168,0.00002115261],"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":[0.00003977752,0.00001176662,0.001447086,0.003034443,0.000001028593,8.456071e-7,0.000926372,0.0000100917,0.5060043,0.0001317873,0.00001111703,0.4883814],"study_design_scores_gemma":[0.000290803,0.0001073548,0.0334162,0.001357231,0.000003183247,0.00001557166,0.0001145011,0.0001227521,0.8536921,0.00002010438,0.1107168,0.000143365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908665,0.007689966,0.00001808153,0.00002314522,0.0001223087,0.000826636,0.00000341986,0.0000103608,0.0004395425],"genre_scores_gemma":[0.9353389,0.06418385,0.0003110063,0.00001285448,0.0000161779,0.0000913275,0.000002934218,0.000002927181,0.00004005604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.488238,"threshold_uncertainty_score":0.2084173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758861128702847,"score_gpt":0.3008717205904382,"score_spread":0.2832831093034097,"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."}}