{"id":"W7125958253","doi":"10.1145/3768292.3793403","title":"10.1145/3768292.3793403","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Reinforcement; Reinforcement learning; Component (thermodynamics); Training (meteorology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001844648,0.004100093,0.00300509,0.002543557,0.002013225,0.004098115,0.003300012,0.006074962,0.9232635],"category_scores_gemma":[0.002836632,0.002176796,0.001491348,0.008406305,0.001496561,0.009554408,0.00594667,0.003535023,0.9436111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114448,"about_ca_system_score_gemma":0.00103475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01754144,"about_ca_topic_score_gemma":0.01229592,"domain_scores_codex":[0.9993321,0.00005020454,0.00005978545,0.0002064888,0.0002179821,0.0001332863],"domain_scores_gemma":[0.998569,0.0003571822,0.00008456271,0.0004910874,0.0002737178,0.0002244844],"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":[0.0003677481,0.0002555681,0.0005292048,0.000782038,0.00006544127,0.0002612014,0.0000798589,0.001454753,0.001702349,0.005897945,0.6175505,0.3710534],"study_design_scores_gemma":[0.00006415469,0.00004839155,0.0008708017,0.0003454795,0.00006430268,0.0001942538,0.0000635445,0.001944442,0.0008281911,0.00258162,0.9929531,0.00004160837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004110769,0.01111739,0.02650435,0.002193003,0.003028089,0.0007928998,0.02689649,0.03085714,0.8945],"genre_scores_gemma":[0.006108896,0.003604135,0.003817214,0.0009703683,0.000171972,0.0003300423,0.01137798,0.002807869,0.9708114],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07673651,"threshold_uncertainty_score":0.1094553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006230724881324144,"score_gpt":0.179140084893979,"score_spread":0.1729093600126549,"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."}}