{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004376208,0.00008648192,0.0001534846,0.0001483603,0.0004866184,0.0003230964,0.0002493446,0.00002237147,0.00001589574],"category_scores_gemma":[0.000008386948,0.00006453812,0.00002972878,0.004204902,0.000161313,0.0002821846,0.0001046922,0.00004622818,0.0000200938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008904834,"about_ca_system_score_gemma":0.00002795549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008954868,"about_ca_topic_score_gemma":0.0009380758,"domain_scores_codex":[0.9989969,0.00003358776,0.0001045936,0.0004604298,0.0002377564,0.0001667215],"domain_scores_gemma":[0.9994739,0.00008257951,0.00007180399,0.0002553329,0.00006176333,0.00005466301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000531591,0.0002480068,0.04232238,0.0000260346,0.0008163045,0.00001737523,0.002890624,0.002957883,0.01280937,0.2140499,0.00006927563,0.7237396],"study_design_scores_gemma":[0.0004150961,0.00064312,0.7651174,0.00001912629,0.0003862175,0.00003477063,0.0007991394,0.2004642,0.02147594,0.00394099,0.005622372,0.001081612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1716838,0.0004098111,0.8050812,0.001148828,0.00005293354,0.0004667215,0.00001934476,0.0002780163,0.02085931],"genre_scores_gemma":[0.9892965,0.0000116374,0.01029046,0.000122084,0.00003308571,0.00005869361,0.00000542323,0.000002474412,0.000179616],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8176127,"threshold_uncertainty_score":0.3742724,"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."}}