{"id":"W3152247463","doi":"10.82308/34145","title":"Elastodynamics and control of fast pick-and-place robots","year":2019,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robot; SMT placement equipment; Control (management); Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002112584,0.0004112063,0.0003943171,0.0003125467,0.0004477482,0.0009563627,0.0003107536,0.000731267,0.002034546],"category_scores_gemma":[0.0007449066,0.0002942807,0.000284126,0.0002144008,0.0009978085,0.0005284958,0.0006893027,0.0004546178,0.0002491634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004478348,"about_ca_system_score_gemma":0.0005089811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00291091,"about_ca_topic_score_gemma":0.001495377,"domain_scores_codex":[0.9998741,0.00002923456,0.000003531502,0.00002106333,0.00005057782,0.00002143761],"domain_scores_gemma":[0.9998052,0.00009846875,0.00004188387,0.00001219551,0.00002631442,0.0000159787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001635921,0.00003713367,0.0006290312,0.00009542898,0.00001673506,0.0001737555,0.0001687608,0.9256823,0.01946894,0.03485387,0.0005680677,0.01814228],"study_design_scores_gemma":[0.00001459711,0.00006011361,0.0005133679,0.00000853453,0.000003035533,0.0000368213,0.00003473423,0.9901388,0.001138929,0.006185528,0.001853683,0.00001192342],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3124706,0.003345668,0.6373569,0.001524635,0.0002779523,0.00009666463,0.000164377,0.0004230307,0.04434017],"genre_scores_gemma":[0.9719357,0.0009128992,0.009992654,0.00005452319,0.00003629756,0.00007193231,0.00003540486,0.00002954265,0.01693119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00291091,"threshold_uncertainty_score":0.006806254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00429032421338289,"score_gpt":0.1723083556112865,"score_spread":0.1680180313979036,"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."}}