{"id":"W2048825222","doi":"10.1177/0278364913507612","title":"Design and experimental validation of planar programmable inertia generators","year":2013,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inertia; Rendering (computer graphics); Acceleration; Planar; Control theory (sociology); Generator (circuit theory); Sylvester's law of inertia; Computer science; Simulation; Control engineering; Engineering; Physics; Classical mechanics; Artificial intelligence; Control (management); Computer graphics (images)","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":[0.001207883,0.0005726994,0.0003677259,0.0006219252,0.0002343221,0.000553873,0.001409121,0.0008686003,0.002519239],"category_scores_gemma":[0.003311939,0.0002473175,0.0003031589,0.0002909373,0.0008400605,0.0008270449,0.0007930433,0.0004985692,0.0004632788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001832131,"about_ca_system_score_gemma":0.000363069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001480688,"about_ca_topic_score_gemma":0.00009438302,"domain_scores_codex":[0.9990727,0.0001395833,0.00006610819,0.0001477862,0.0004644814,0.0001093829],"domain_scores_gemma":[0.9984806,0.0004466232,0.0002725197,0.0003473464,0.0003264849,0.0001263146],"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":[0.0009363598,0.001103336,0.002318942,0.001042206,0.00004645201,0.0006628236,0.0005550288,0.02849929,0.8520343,0.01171119,0.001046294,0.1000437],"study_design_scores_gemma":[0.0006603237,0.0181698,0.007912799,0.0001472656,0.00009469048,0.001047606,0.0003399824,0.1229384,0.8213628,0.003161635,0.02401097,0.00015367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5643675,0.0003906398,0.4250711,0.0001829426,0.0002099714,0.001307269,0.0003363173,0.001471977,0.00666222],"genre_scores_gemma":[0.8978289,0.0001787612,0.09901759,0.00004605914,0.00001720136,0.0005041469,0.0002075948,0.0000515045,0.002148323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002519239,"threshold_uncertainty_score":0.008427739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0776480329732872,"score_gpt":0.3364647748366765,"score_spread":0.2588167418633893,"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."}}