{"id":"W4243615147","doi":"10.1002/9783527816651.ch4","title":"Greener Munitions","year":2019,"lang":"en","type":"other","venue":"","topic":"Energetic Materials and Combustion","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Ammunition; Artillery; Limiting; Risk analysis (engineering); Biochemical engineering; Process (computing); Engineering; Environmental impact assessment; Computer science; Business; Mechanical engineering; Political science","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":[0.0005546229,0.0007485774,0.0003435357,0.001486283,0.0006820929,0.002206935,0.0007533503,0.0009306046,0.01843612],"category_scores_gemma":[0.0005441972,0.0002036556,0.0004500072,0.0009615569,0.0007596267,0.001793194,0.00153562,0.001150346,0.003804839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972773,"about_ca_system_score_gemma":0.0006662428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001728407,"about_ca_topic_score_gemma":0.00494182,"domain_scores_codex":[0.9992962,0.00005965885,0.00001722416,0.00009823127,0.0004301578,0.00009852248],"domain_scores_gemma":[0.9998197,0.00002605232,0.00003170916,0.00003593787,0.00006593156,0.00002075258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003880351,0.0003967658,0.002525671,0.002603431,0.00007330049,0.001027749,0.0005168685,0.02451774,0.2169992,0.1964219,0.02331153,0.5312178],"study_design_scores_gemma":[0.00002142659,0.000515948,0.003715471,0.0003844984,0.00005239894,0.0008620028,0.0005496785,0.01078199,0.1953614,0.01981521,0.7678655,0.00007433724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1348635,0.009437751,0.08609133,0.001231226,0.0009838808,0.0004190096,0.00120929,0.00133147,0.7644324],"genre_scores_gemma":[0.6012415,0.01073875,0.05507766,0.001083623,0.0001318947,0.0001854506,0.001092415,0.0006847053,0.3297639],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01843612,"threshold_uncertainty_score":0.06167489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004970560308158588,"score_gpt":0.1656377792394642,"score_spread":0.1606672189313056,"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."}}