{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006503491,0.0004720315,0.001267507,0.002179983,0.0004458064,0.0005296063,0.0006258772,0.000367754,0.02919046],"category_scores_gemma":[0.00004844379,0.0006172035,0.0005378662,0.005523849,0.0001783761,0.000862618,0.000269775,0.0002740473,0.002252893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004066342,"about_ca_system_score_gemma":0.00009767415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970331,"about_ca_topic_score_gemma":0.0003867159,"domain_scores_codex":[0.9955521,0.00002444587,0.002256492,0.001336702,0.00007130109,0.0007589767],"domain_scores_gemma":[0.9976818,0.0000670056,0.0007968775,0.001111546,0.0002220032,0.0001207747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001983057,0.0003503645,0.949663,0.00009941787,0.001945795,0.000003184566,0.0007089116,0.0003106006,0.00000414261,0.04014417,0.004740609,0.002009972],"study_design_scores_gemma":[0.001037382,0.00002708377,0.8217661,0.00004286043,0.0003863616,9.031244e-7,0.001091609,0.01327602,0.0003231858,0.002146471,0.1590048,0.0008971998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8607939,0.001637566,0.04172648,0.001112392,0.003086912,0.000489998,0.0001870536,0.00006635857,0.09089927],"genre_scores_gemma":[0.9423397,0.0008750174,0.0003209759,0.003095662,0.0001409991,0.0001279419,0.00008450839,0.00002532465,0.05298983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1542642,"threshold_uncertainty_score":0.9996279,"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."}}