{"id":"W2008646490","doi":"10.1109/ccece.2010.5575152","title":"Propeller dynamometer for small Unmanned Aerial Vehicle","year":2010,"lang":"en","type":"article","venue":"","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dynamometer; Propeller; Strain gauge; Thrust; Calibration; Torque; Sensitivity (control systems); Marine engineering; Automotive engineering; Engineering; Full scale; Scale (ratio); Aerospace engineering; Computer science; Structural engineering; Electronic engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007227396,0.0005013374,0.0004263973,0.001075268,0.0003352648,0.0004317438,0.0007150572,0.0003572728,0.003106309],"category_scores_gemma":[0.001705088,0.0002592428,0.0001947322,0.0004663412,0.0003154532,0.0005742295,0.0004489466,0.0004574369,0.001077201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004585452,"about_ca_system_score_gemma":0.000588643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000593416,"about_ca_topic_score_gemma":0.001141525,"domain_scores_codex":[0.998988,0.0000934791,0.00005435257,0.0001307748,0.0007018344,0.00003167145],"domain_scores_gemma":[0.9985581,0.0004923476,0.0002033677,0.0001664343,0.0005043436,0.00007540645],"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":[0.0002883929,0.000151855,0.005672617,0.0008204787,0.00003289683,0.0002003681,0.0001340362,0.004586487,0.791868,0.002113534,0.005080483,0.1890509],"study_design_scores_gemma":[0.0002637343,0.002243036,0.04740297,0.0001321949,0.0001035193,0.00201638,0.0001662102,0.1314947,0.7166635,0.001818244,0.09749956,0.0001959859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.204955,0.001557191,0.767794,0.0005261716,0.0009705782,0.001269997,0.00232918,0.0054607,0.01513718],"genre_scores_gemma":[0.6597897,0.0006879212,0.3221525,0.0003068463,0.000145202,0.001086948,0.001450293,0.0002484665,0.01413205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003106309,"threshold_uncertainty_score":0.01039159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009994167202302033,"score_gpt":0.1904628792922186,"score_spread":0.1804687120899165,"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."}}