{"id":"W1992452216","doi":"10.1615/intjenergeticmaterialschemprop.2011001461","title":"BORON NANOPARTICLE-RICH FUELS FOR GAS GENERATORS AND PROPELLANTS","year":2010,"lang":"en","type":"article","venue":"International Journal of Energetic Materials and Chemical Propulsion","topic":"Energetic Materials and Combustion","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Polytechnique Montréal","funders":"","keywords":"Materials science; Boron; Propellant; Nanoparticle; Combustion; Polymer; Chemical engineering; Particle (ecology); Polyurethane; Nanotechnology; Composite material; Organic chemistry; Chemistry","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":[0.0001943261,0.0004006709,0.000332103,0.0004097567,0.0003069153,0.0004083023,0.0003250671,0.0006002485,0.0008668842],"category_scores_gemma":[0.0002329248,0.0001943165,0.0002613587,0.000185327,0.0001560207,0.0004213455,0.0002231309,0.0003793374,0.0005881052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004434386,"about_ca_system_score_gemma":0.0001793678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000416301,"about_ca_topic_score_gemma":0.001225928,"domain_scores_codex":[0.999772,0.00002699231,0.00001053227,0.00004072635,0.0001163438,0.00003348053],"domain_scores_gemma":[0.9999269,0.00001542366,0.00001533209,0.000006725773,0.00002490028,0.00001058641],"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":[0.00005781997,0.0000149141,0.0000800239,0.0001342018,0.000004361744,0.00006097491,0.00001480967,0.0002451704,0.9949332,0.0003017966,0.00007065824,0.004082157],"study_design_scores_gemma":[0.000004528656,0.00006632996,0.0002249542,0.000006727027,0.000003970245,0.00007731371,0.000009783025,0.0005772139,0.9959844,0.00004534138,0.002994441,0.000005006941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353717,0.01109852,0.04099973,0.0003402185,0.0002174339,0.0001734651,0.0005015904,0.0003538519,0.01094359],"genre_scores_gemma":[0.9688324,0.002553324,0.02256523,0.00007764188,0.00002374049,0.00006174308,0.0004344247,0.00008530464,0.005366167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008668842,"threshold_uncertainty_score":0.003217399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004964481926864688,"score_gpt":0.2103230705249567,"score_spread":0.205358588598092,"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."}}