{"id":"W7127382629","doi":"10.1109/coniiti68560.2025.11366061","title":"Claro Colombia Customer Experience Patterns: Sentiment Analysis","year":2025,"lang":"","type":"article","venue":"","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sentiment analysis; Reputation; Active listening; Quality (philosophy); Quarter (Canadian coin); Service quality; Service (business); Work (physics); Perception","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006096808,0.0002466163,0.0002553858,0.001941329,0.0006969596,0.001700283,0.0001926418,0.0002849517,0.002529141],"category_scores_gemma":[0.001795584,0.00007362798,0.0001779474,0.001991287,0.0002683418,0.0006174907,0.000522814,0.0003260377,0.0006914308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076178,"about_ca_system_score_gemma":0.0004287908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148638,"about_ca_topic_score_gemma":0.02736593,"domain_scores_codex":[0.9994616,0.0001178152,0.0000381041,0.00006909032,0.0002140699,0.00009926988],"domain_scores_gemma":[0.998664,0.0003554735,0.0002489404,0.00003740292,0.0006046044,0.00008953024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001549771,0.0002649344,0.5663844,0.001318188,0.0001472116,0.00203216,0.06902906,0.0009278025,0.02368749,0.002680024,0.08040964,0.2515692],"study_design_scores_gemma":[0.00001139715,0.0001013162,0.854606,0.000147131,0.00004616664,0.0003675507,0.08105066,0.00651406,0.002104111,0.000266321,0.05472391,0.00006135627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732304,0.0005153408,0.0008848915,0.0008762201,0.000110333,0.0001283002,0.004828713,0.0000781343,0.01934747],"genre_scores_gemma":[0.9885407,0.0005235816,0.001321915,0.0001397035,0.00008082425,0.000148817,0.003601145,0.00002988947,0.005613473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02148638,"threshold_uncertainty_score":0.04272264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170025834924227,"score_gpt":0.2417634290802454,"score_spread":0.2200631707310031,"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."}}