{"id":"W7118190000","doi":"10.1145/3765766.3787117","title":"10.1145/3765766.3787117","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); Adaptation (eye); Component (thermodynamics); Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001661096,0.0001325506,0.0001304663,0.0000791307,0.00009856972,0.0001821765,0.001029883,0.00004900122,0.9513134],"category_scores_gemma":[0.0000357843,0.0001322934,0.00005064991,0.0003484708,0.00002195505,0.0002900044,0.0001653118,0.0001127865,0.9870384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003709385,"about_ca_system_score_gemma":0.00003284967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008399151,"about_ca_topic_score_gemma":1.84446e-8,"domain_scores_codex":[0.9988488,0.00003700661,0.0001850319,0.0002876522,0.0003041509,0.0003373497],"domain_scores_gemma":[0.9990151,0.00005282577,0.0000352853,0.0007015325,0.00004213355,0.0001531357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008583986,0.00001817027,4.439333e-7,0.000003641887,0.00001235054,0.000009581067,0.0000600152,0.214242,0.00002918183,0.00008099395,0.1413578,0.6441772],"study_design_scores_gemma":[0.0001143265,0.0001300164,0.00003431238,0.000008762766,0.00000293378,0.000006873901,1.837288e-7,0.1179324,0.0000462716,0.000007646817,0.8815624,0.0001538901],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006198874,0.000012699,0.01448976,0.0005584924,0.000007402437,0.0001365423,5.128171e-7,0.0003592905,0.9843733],"genre_scores_gemma":[0.0002768534,2.612746e-7,0.007402023,0.0002119073,0.0000706229,0.000008185523,0.000003036519,0.00001357964,0.9920135],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7402045,"threshold_uncertainty_score":0.5394766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006354011713904454,"score_gpt":0.180076401831819,"score_spread":0.1737223901179145,"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."}}