{"id":"W2999722249","doi":"10.1139/tcsme-2019-0173","title":"Development of a trajectory planning algorithm for a 4-DoF rockbreaker based on hydraulic flow rate limits","year":2020,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Trajectory; Control theory (sociology); Decoupling (probability); Parameterized complexity; Motion planning; Computer science; Trajectory optimization; Path (computing); Nonlinear system; Point (geometry); Mathematical optimization; Mathematics; Algorithm; Control engineering; Engineering; Optimal control; Robot; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003763188,0.0008097093,0.0005973149,0.000413777,0.0006237042,0.0005770747,0.000974312,0.0008271793,0.005132097],"category_scores_gemma":[0.0007947967,0.000475015,0.0005790548,0.0003447705,0.0003872259,0.0006084322,0.0007108803,0.0009844552,0.000923367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006981319,"about_ca_system_score_gemma":0.002087898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069077,"about_ca_topic_score_gemma":0.01002272,"domain_scores_codex":[0.9998323,0.00002417472,0.00000953582,0.00005281508,0.00005726012,0.00002390916],"domain_scores_gemma":[0.9997072,0.0001225023,0.00003956624,0.00002439861,0.00008543651,0.00002092137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005900271,0.0000261524,0.000414576,0.00009653508,0.00002204135,0.00009597109,0.0001024418,0.8771433,0.006451582,0.009104685,0.001193994,0.1052898],"study_design_scores_gemma":[0.0000100048,0.00002484513,0.00006189578,0.000007938542,0.000003808111,0.00001966587,0.00001488627,0.9953789,0.001483705,0.00142778,0.001560843,0.000005749029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002598245,0.00002304768,0.9960054,0.00002044265,0.000008775731,0.00003681808,0.00002995911,0.0004599463,0.0008174258],"genre_scores_gemma":[0.1488478,0.0001058413,0.8477752,0.00002317241,0.00001029373,0.0002346437,0.0002644255,0.000164545,0.002574125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01069077,"threshold_uncertainty_score":0.0212571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244854340048382,"score_gpt":0.2058663803942956,"score_spread":0.1834178369938118,"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."}}