{"id":"W4413329722","doi":"10.1007/s13272-025-00880-9","title":"Tailored composites and digital optimization for efficient eVTOL propellers","year":2025,"lang":"en","type":"article","venue":"CEAS Aeronautical Journal","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Excellence in Mining Innovation","funders":"","keywords":"Composite material; Materials science; Mechanical engineering; Computer science; Engineering","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":[0.0001278772,0.0003971726,0.0001807726,0.0002645164,0.0001136166,0.0003707146,0.0002502834,0.0002583867,0.001833302],"category_scores_gemma":[0.0002233493,0.0001402462,0.0002014341,0.0002068504,0.0001387564,0.0001802461,0.0002233863,0.0002239888,0.0003430005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110293,"about_ca_system_score_gemma":0.0002439559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004008995,"about_ca_topic_score_gemma":0.0009346593,"domain_scores_codex":[0.9999163,0.000007625864,0.000002673244,0.00001455925,0.00004166728,0.0000170921],"domain_scores_gemma":[0.9999278,0.00001991426,0.00001762609,0.000008244149,0.0000219032,0.000004453759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001395285,0.0001006346,0.0009801151,0.0003153975,0.00002889938,0.0002040339,0.00005045913,0.3972074,0.5223893,0.00478791,0.001108696,0.07268753],"study_design_scores_gemma":[0.0000282472,0.0004125583,0.001085613,0.00001738004,0.00001859339,0.0001020188,0.00003573343,0.8489447,0.1398458,0.0006528748,0.008836256,0.00002011918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5645722,0.0007435317,0.4057895,0.0001153059,0.00009652543,0.00008034386,0.0002028821,0.001012512,0.02738716],"genre_scores_gemma":[0.9052468,0.0001821748,0.09113371,0.00001822571,0.000007681419,0.00005675899,0.00009852051,0.00008133374,0.003174801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001833302,"threshold_uncertainty_score":0.00613296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007994452008816893,"score_gpt":0.2313836854826967,"score_spread":0.2233892334738798,"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."}}