{"id":"W2183655945","doi":"","title":"Elastic matching in linear time and constant space","year":2009,"lang":"en","type":"article","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dynamic time warping; Time complexity; Constant (computer programming); Matching (statistics); Quadratic equation; Symbol (formal); Image warping; Algorithm; Mathematics; Computer science; Greedy algorithm; Mathematical optimization; Artificial intelligence; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001295218,0.0009021517,0.001374352,0.001207962,0.0008425256,0.001704322,0.001974351,0.002150236,0.006263895],"category_scores_gemma":[0.00604831,0.0009358864,0.0008261175,0.002112345,0.001813915,0.004361123,0.002766621,0.001777815,0.001539255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200019,"about_ca_system_score_gemma":0.001117468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008158915,"about_ca_topic_score_gemma":0.006988518,"domain_scores_codex":[0.9987231,0.0002398665,0.00006552427,0.0004122387,0.0004061302,0.0001531893],"domain_scores_gemma":[0.9977896,0.001292554,0.0002038698,0.0004305584,0.0002106631,0.00007271551],"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":[0.0001701188,0.0001115194,0.0004091024,0.00009452768,0.00004542765,0.0001958992,0.0001010165,0.7579812,0.003963928,0.09756312,0.002505253,0.1368588],"study_design_scores_gemma":[0.000007096558,0.00001449607,0.00005534751,0.000002653293,0.000003253593,0.00002287165,0.00001261949,0.9687058,0.0006799464,0.02974063,0.0007497286,0.000005471383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01048228,0.0001052576,0.9868329,0.0001530581,0.00001972691,0.00002403111,0.00004434687,0.000440263,0.001898066],"genre_scores_gemma":[0.3753363,0.000425066,0.6025018,0.0002579164,0.0001172981,0.0002540093,0.0005956457,0.0005259267,0.01998596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008158915,"threshold_uncertainty_score":0.02095479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007500860919213619,"score_gpt":0.2119195888152344,"score_spread":0.2044187278960208,"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."}}