{"id":"W6901636194","doi":"10.60692/16y90-1d376","title":"Editorial: Advances in Robots Trajectories Learning via Fast Neural Networks","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Artificial neural network; Robot; Trajectory; Feature (linguistics); Key (lock)","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":[0.004493482,0.00367595,0.003164043,0.00297229,0.002049672,0.005586682,0.002960994,0.01057328,0.0364391],"category_scores_gemma":[0.0157292,0.0009350557,0.002340845,0.00107464,0.001770382,0.003274699,0.001153567,0.01051737,0.02126539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641495,"about_ca_system_score_gemma":0.001373871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007239118,"about_ca_topic_score_gemma":0.001680099,"domain_scores_codex":[0.9975808,0.0003252923,0.0002950329,0.0004505666,0.001132237,0.0002160272],"domain_scores_gemma":[0.9870903,0.005087728,0.0007734128,0.0003451663,0.004806208,0.001897085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008253508,0.00001470592,0.00002332086,0.0002505007,0.00002294828,0.00007738716,0.000005417299,0.00006260068,0.00009666313,0.0004183586,0.9922866,0.006659022],"study_design_scores_gemma":[0.0001167695,0.00007089438,0.0002983954,0.0003015824,0.00007610058,0.0002177325,0.00001950064,0.0004526347,0.0003005941,0.001805355,0.9963134,0.00002706521],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005734229,0.004256902,0.0003221795,0.01957715,0.9733848,0.00002368927,0.0001228446,0.0001072719,0.002147758],"genre_scores_gemma":[0.0007954329,0.00363775,0.0001749679,0.009522923,0.9733825,0.0000257172,0.0000620078,0.00006124806,0.01233743],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0364391,"threshold_uncertainty_score":0.1219009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361408417350617,"score_gpt":0.2120438361873005,"score_spread":0.1984297520137944,"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."}}