{"id":"W2585083595","doi":"","title":"A Preliminary Study of Transfer Learning between Unicycle Robots","year":2016,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Control Systems and Identification","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robot; Nonlinear system; Computer science; Scalar (mathematics); Control theory (sociology); LTI system theory; Transformation (genetics); Transfer of learning; Linear system; Invariant (physics); Artificial intelligence; Mathematics; Control (management)","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":[0.001657275,0.0005389769,0.0005840481,0.0003813619,0.0006172562,0.0006992032,0.000917469,0.001014615,0.004332568],"category_scores_gemma":[0.01270737,0.0002798836,0.0005313278,0.0004299404,0.00129442,0.001902715,0.001211795,0.001324958,0.0003514733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035999,"about_ca_system_score_gemma":0.0006063932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002768249,"about_ca_topic_score_gemma":0.0009594224,"domain_scores_codex":[0.999288,0.0002634008,0.00002977798,0.0001534418,0.0001790044,0.0000862915],"domain_scores_gemma":[0.9951732,0.003438699,0.000323178,0.0003535453,0.0005883187,0.0001231862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002818817,0.0002392265,0.00336872,0.0004419981,0.00006670198,0.0007188689,0.0008569178,0.7824581,0.01294142,0.1136728,0.0009230257,0.0840304],"study_design_scores_gemma":[0.000008994497,0.0003081026,0.0008200094,0.00001918828,0.00001000015,0.0001205679,0.00008815965,0.9637094,0.003117256,0.03026454,0.001521266,0.00001257297],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1894457,0.001019721,0.7888421,0.001132307,0.00007845438,0.0001693792,0.0000514887,0.0002181823,0.01904266],"genre_scores_gemma":[0.9768273,0.0003204243,0.01795556,0.00007775521,0.0000454197,0.00007455146,0.00002748932,0.00001760229,0.004653926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004332568,"threshold_uncertainty_score":0.01449388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09902850839958162,"score_gpt":0.3101233288185063,"score_spread":0.2110948204189247,"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."}}