{"id":"W2207114418","doi":"10.1109/iros.2015.7354118","title":"An upper bound on the error of alignment-based Transfer Learning between two linear, time-invariant, scalar systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scalar (mathematics); LTI system theory; Linear system; Control theory (sociology); Upper and lower bounds; Transfer function; Invariant (physics); Computer science; Transformation (genetics); Norm (philosophy); Mathematics; Algorithm; Mathematical analysis; Artificial intelligence; Control (management); Engineering; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007732993,0.0001275848,0.0002173382,0.00006473422,0.00005694584,0.00007557468,0.0001496164,0.00006340883,0.00006452887],"category_scores_gemma":[0.00002114285,0.00008948254,0.00006069879,0.000103462,0.00001921478,0.0001037288,0.00000388028,0.000115328,0.0001715254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005357627,"about_ca_system_score_gemma":0.00002342705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004567905,"about_ca_topic_score_gemma":0.00002012889,"domain_scores_codex":[0.9989506,0.000144503,0.0003227852,0.0001460946,0.0002673673,0.0001686591],"domain_scores_gemma":[0.9994116,0.00008402592,0.00002698556,0.0003124221,0.0000702311,0.00009471352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004800389,0.0001077238,0.008982728,0.0001770038,0.0002773121,0.000002370303,0.001067043,0.8186852,0.1611954,0.004955846,0.003252042,0.001249287],"study_design_scores_gemma":[0.001019529,0.0001418631,0.001697367,0.00008618201,0.00005838959,8.831205e-7,0.0003901185,0.9778662,0.01121497,0.00001489154,0.007308374,0.0002012759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466045,0.0001380276,0.0467683,0.0002036419,0.0002994397,0.0005298909,0.0000175544,0.000248791,0.00518981],"genre_scores_gemma":[0.9986825,7.367609e-7,0.00003710224,0.00001452717,0.0001957068,0.00002836407,0.00002937497,0.00003192633,0.0009797805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1591809,"threshold_uncertainty_score":0.3648992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771067990789397,"score_gpt":0.2470068560928131,"score_spread":0.2192961761849192,"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."}}