{"id":"W2925510744","doi":"10.22215/etd/2014-10450","title":"A Process for the Design and Manufacture of Propellers for Small Unmanned Aerial Vehicles","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Aircraft Design and Technologies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Propeller; Engineering; Thrust; Process (computing); Instrumentation (computer programming); Systems engineering; Manufacturing engineering; Manufacturing process; Design process; Marine engineering; Mechanical engineering; Computer science; Work in process; Operations management","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":[0.001167849,0.0005705655,0.0002949566,0.0008706963,0.0009091911,0.0009660536,0.0004618252,0.0003988603,0.004190977],"category_scores_gemma":[0.001387553,0.0003655766,0.0004670323,0.0005570196,0.0004831472,0.0005665519,0.0005169893,0.001123821,0.002446272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004891955,"about_ca_system_score_gemma":0.001734116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102813,"about_ca_topic_score_gemma":0.001778714,"domain_scores_codex":[0.9992126,0.00007785171,0.00003704523,0.00008821786,0.0005412575,0.00004295703],"domain_scores_gemma":[0.999388,0.0001271215,0.00005828654,0.0001054631,0.000281731,0.00003946009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008961048,0.0003035713,0.0008240878,0.0004975531,0.00001524645,0.0002881759,0.0009041029,0.02105538,0.4750163,0.0138382,0.005699442,0.4814685],"study_design_scores_gemma":[0.0001217517,0.001472616,0.002978764,0.0001759615,0.00004740783,0.00102066,0.0004127418,0.04031816,0.6016265,0.006050332,0.3456942,0.0000808324],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02901388,0.0005375889,0.9536166,0.0001894808,0.0001231713,0.001070688,0.0001551765,0.001450766,0.01384277],"genre_scores_gemma":[0.07488074,0.0009636526,0.9030575,0.00006092161,0.00003635621,0.0004767429,0.0003626735,0.00028107,0.01988024],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004190977,"threshold_uncertainty_score":0.0140202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419187541223525,"score_gpt":0.2589461505795789,"score_spread":0.2347542751673436,"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."}}