{"id":"W4410772565","doi":"10.1007/s10799-025-00455-4","title":"Time series clustering for grouping products based on price and sales patterns","year":2025,"lang":"en","type":"article","venue":"Information Technology and Management","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Series (stratigraphy); Cluster analysis; Computer science; Econometrics; Mathematics; Artificial intelligence; Geology","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":[0.0009276382,0.0008146418,0.00110023,0.005954799,0.001188114,0.00103666,0.001244734,0.0008365449,0.004129907],"category_scores_gemma":[0.002865754,0.0003330888,0.001906714,0.006611011,0.0003197802,0.000918225,0.0006156693,0.0007162594,0.002500797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009095619,"about_ca_system_score_gemma":0.001625112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01635687,"about_ca_topic_score_gemma":0.01444723,"domain_scores_codex":[0.9991817,0.0001172703,0.0000907455,0.0002622972,0.0002472201,0.00010067],"domain_scores_gemma":[0.9987552,0.000306015,0.0001396843,0.00022298,0.000483969,0.00009217615],"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":[0.0008677935,0.0007789533,0.01552322,0.0003475014,0.0006031967,0.0002056745,0.000377959,0.07327422,0.02503332,0.008360453,0.01961438,0.8550134],"study_design_scores_gemma":[0.00006355047,0.0002283705,0.01943095,0.000045978,0.0002475083,0.000230744,0.0003673676,0.9519627,0.008168677,0.009767247,0.009400292,0.00008656103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1099711,0.0006961908,0.8753999,0.0003085924,0.0002302672,0.0004879264,0.004182778,0.005390975,0.003332221],"genre_scores_gemma":[0.3037814,0.0004524062,0.6763188,0.00009471362,0.0001971714,0.0005052123,0.01194222,0.0004115357,0.006296569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01635687,"threshold_uncertainty_score":0.03252327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004913521361158834,"score_gpt":0.1957707557033125,"score_spread":0.1908572343421537,"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."}}