{"id":"W1602814827","doi":"10.1109/icsmc.1999.812484","title":"A paradigm for intelligent motion planning of robot manipulators","year":2003,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robustness (evolution); Robot; Computer science; Motion planning; Artificial intelligence; Robot manipulator; Robotics; Control engineering; Engineering","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":[0.0005187379,0.0007014982,0.0004818185,0.0005151788,0.0007930377,0.001355968,0.00147141,0.001222237,0.003042911],"category_scores_gemma":[0.0007662786,0.0003758596,0.0008045377,0.0004870363,0.001978718,0.002193162,0.001745171,0.002169773,0.001074741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004422193,"about_ca_system_score_gemma":0.0008173138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005328069,"about_ca_topic_score_gemma":0.0007089366,"domain_scores_codex":[0.9995075,0.0000984002,0.00003466025,0.0001140335,0.0002079421,0.00003745301],"domain_scores_gemma":[0.9997912,0.00005963105,0.00002848247,0.00005244006,0.00003942553,0.00002878596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002208394,0.00001734293,0.00005231215,0.0001265665,0.00001389866,0.0001171666,0.0001866394,0.02733835,0.00874115,0.9062588,0.002443819,0.05468178],"study_design_scores_gemma":[0.00003453463,0.0001254256,0.00007948363,0.00005726809,0.00001898955,0.0002580735,0.00005483762,0.1627118,0.004153412,0.7606773,0.07179684,0.00003206303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000842633,0.0003230723,0.9930828,0.0002975558,0.00007392163,0.00002566835,0.00001962947,0.0001460351,0.005188616],"genre_scores_gemma":[0.09555743,0.001865543,0.893657,0.0004159179,0.0002305524,0.0003759545,0.0001318001,0.0001089779,0.007656882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003042911,"threshold_uncertainty_score":0.01017952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06115458394824316,"score_gpt":0.2968227061535883,"score_spread":0.2356681222053451,"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."}}