{"id":"W4402993929","doi":"10.3390/nano14191574","title":"Nanoenergetic Materials: From Materials to Applications","year":2024,"lang":"en","type":"review","venue":"Nanomaterials","topic":"Energetic Materials and Combustion","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanoelectromechanical systems; Nanotechnology; Materials science; Thermite; Fabrication; Nanoscopic scale; Sensitivity (control systems); Combustion; Software deployment; Computer science; Nanoparticle; Engineering; Nanomedicine; Composite material; Electronic engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004389636,0.001141011,0.003160684,0.0004150163,0.00009164288,0.0009791474,0.0007922863,0.0007934531,0.005797288],"category_scores_gemma":[0.00002467763,0.0009427878,0.0002703657,0.0004195858,0.00003524616,0.0001088208,0.0002887365,0.0001074774,0.01030088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002452222,"about_ca_system_score_gemma":0.00008499681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008097562,"about_ca_topic_score_gemma":0.000003810959,"domain_scores_codex":[0.9959231,0.0002528062,0.001948158,0.0008920752,0.0003081213,0.0006757322],"domain_scores_gemma":[0.9983483,0.00006143991,0.0002134331,0.001076836,0.00005063002,0.0002493582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001418985,0.00005234177,9.419407e-9,0.05767746,0.0007056118,0.00005456521,0.00007990567,0.00003655033,0.4868831,0.002317688,0.02179294,0.4303856],"study_design_scores_gemma":[0.00006410942,0.00002049849,1.845021e-7,0.006445707,0.001233674,0.00002122539,0.000002883672,4.954485e-7,0.1301836,0.0004311569,0.8607233,0.0008732408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001822649,0.9730548,0.0001948287,0.00001032485,0.01408462,0.001984435,0.00670007,0.001685036,0.0004632929],"genre_scores_gemma":[0.000363328,0.9856341,0.001210705,0.00003026735,0.003621918,0.005234541,0.002755029,0.0005020932,0.0006480198],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8389303,"threshold_uncertainty_score":0.9993023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171536447431264,"score_gpt":0.2827335218936185,"score_spread":0.2610181574193058,"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."}}