{"id":"W2014840831","doi":"10.5539/jms.v3n1p129","title":"Ranking and Investigation of Voice of Customer Index by Applying AHP Method in Local Management of Tehran Metropolis","year":2012,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Voice of the customer; Computer science; Analytic hierarchy process; Process (computing); Key (lock); Fuzzy logic; Index (typography); Macro; Marketing; Business; Knowledge management; Management science; Process management; Operations research; Customer retention; Artificial intelligence; Engineering; Service quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01798584,0.0001583722,0.0006662541,0.001042882,0.00005302623,0.00004921493,0.0003957337,0.00007528394,0.00002686133],"category_scores_gemma":[0.0007599891,0.000120212,0.0001150726,0.001015069,0.00030761,0.0007052153,0.0004402116,0.0001820571,2.894002e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548702,"about_ca_system_score_gemma":0.00003042654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001011769,"about_ca_topic_score_gemma":0.000007552233,"domain_scores_codex":[0.9954495,0.0006910622,0.001851533,0.0002553275,0.001484248,0.0002682918],"domain_scores_gemma":[0.9965244,0.0009582533,0.001342691,0.0003544679,0.00069404,0.0001261397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003805054,0.0001905584,0.6783303,0.001009066,0.0001216348,0.00001083352,0.001987597,0.0005878313,0.0001437131,0.0051375,0.0002742251,0.3118263],"study_design_scores_gemma":[0.002912781,0.00013103,0.8772315,0.0002736321,0.0001866907,0.000009609241,0.06700134,0.007590904,0.0009542201,0.03962399,0.003862134,0.0002221693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8091883,0.0008168307,0.1888754,0.0001555566,0.00009584657,0.0004385814,0.000002502742,0.000002333254,0.000424668],"genre_scores_gemma":[0.9798785,0.00009558722,0.0198799,0.00002596474,0.00001704504,0.000005787408,3.64652e-7,0.000007525462,0.00008935631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3116041,"threshold_uncertainty_score":0.6233568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05369221123588151,"score_gpt":0.4009693725836481,"score_spread":0.3472771613477666,"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."}}