{"id":"W7140297713","doi":"10.1109/fmlds67896.2025.00126","title":"Combining Image Transformations to Solve Unseen Time Series Classification Problems","year":2025,"lang":"","type":"article","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Image (mathematics); Series (stratigraphy); Pattern recognition (psychology); Feature (linguistics); Image processing; Image segmentation","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":[0.001318236,0.001254432,0.0009253492,0.001698133,0.0003210938,0.0009431397,0.0009249102,0.0008620872,0.00109214],"category_scores_gemma":[0.00393167,0.0002140942,0.00148926,0.002127768,0.0005331948,0.001481619,0.0008339392,0.001508495,0.0006545737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006866807,"about_ca_system_score_gemma":0.0006013683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005496912,"about_ca_topic_score_gemma":0.004371915,"domain_scores_codex":[0.9994247,0.0001315409,0.00004597771,0.0001936537,0.0001325469,0.0000714846],"domain_scores_gemma":[0.9989489,0.0004591405,0.0001181398,0.0002472169,0.0001820395,0.00004461452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001677729,0.0002636132,0.004358938,0.00008972755,0.0001753394,0.0001292016,0.0001162878,0.4084512,0.01043404,0.003623278,0.002894697,0.5692959],"study_design_scores_gemma":[0.000006423511,0.00004786798,0.0008828232,0.000003960695,0.00002105025,0.00003257999,0.00003096005,0.9911793,0.003256734,0.003683762,0.0008467492,0.000007824979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1420544,0.0009356076,0.8507639,0.0004736496,0.0001359662,0.00009669032,0.0004483725,0.002973076,0.002118353],"genre_scores_gemma":[0.7275061,0.0006281062,0.2665448,0.0001793715,0.0001764599,0.000133781,0.002452044,0.0002278291,0.002151587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005496912,"threshold_uncertainty_score":0.01092982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620326117147761,"score_gpt":0.2411299719601734,"score_spread":0.2249267107886958,"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."}}