{"id":"W3210610608","doi":"10.3390/app11136141","title":"A Survey on Change Detection and Time Series Analysis with Applications","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Calgary","funders":"","keywords":"Computer science; Series (stratigraphy); Spectral analysis; Remote sensing; Time series; Spectral leakage; Data mining; Algorithm; Geography; Geology; Fast Fourier transform; Physics; Machine learning; Astronomy","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":[0.003127596,0.001657871,0.001664228,0.007736278,0.0005886278,0.002937988,0.001791761,0.001807896,0.006319848],"category_scores_gemma":[0.007702303,0.0007234556,0.001648467,0.01338163,0.001052398,0.00380935,0.001187704,0.001896368,0.003884851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009270165,"about_ca_system_score_gemma":0.001578566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002569118,"about_ca_topic_score_gemma":0.001360036,"domain_scores_codex":[0.9971681,0.0007569782,0.0003647148,0.0005607423,0.00106236,0.00008714241],"domain_scores_gemma":[0.9952257,0.003256047,0.0002417002,0.0002673959,0.0009355852,0.00007354874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003912202,0.00008237367,0.001462511,0.005602841,0.0001182982,0.0001688013,0.000158653,0.003754301,0.001017821,0.02848551,0.02745801,0.9316517],"study_design_scores_gemma":[0.00001977824,0.0001923328,0.004834738,0.004033075,0.0001987409,0.001740889,0.0003265898,0.03107129,0.002308283,0.06609976,0.8890126,0.0001618781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001963943,0.8081119,0.1654752,0.002786776,0.001741492,0.0001567077,0.0005824689,0.0005759147,0.01860567],"genre_scores_gemma":[0.01928203,0.8636725,0.1049175,0.001092551,0.003850895,0.0002231698,0.001106358,0.0001495576,0.005705475],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007736278,"threshold_uncertainty_score":0.02114201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286433725364304,"score_gpt":0.230494893058026,"score_spread":0.2018515205215956,"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."}}