{"id":"W2326928967","doi":"","title":"Using Social Media for Effec tive Customer Service","year":2014,"lang":"en","type":"article","venue":"ScholarWorks -A service of University of Vermont Libraries (University of Vermont)","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Marketing Science Institute; University of Ottawa","keywords":"Business; Social media; Service (business); Internet privacy; Advertising; Computer science; Marketing; Computer security; Public relations; World Wide Web; Political science","routes":{"ca_aff":false,"ca_fund":true,"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":[0.002372049,0.0005253692,0.0002213026,0.002235753,0.0009934963,0.005042447,0.0005454482,0.001050991,0.008473072],"category_scores_gemma":[0.008054971,0.0002348526,0.0002824253,0.001585445,0.0005573677,0.004183654,0.001528276,0.0006639504,0.002776186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007000536,"about_ca_system_score_gemma":0.0006023877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774936,"about_ca_topic_score_gemma":0.004792274,"domain_scores_codex":[0.9981501,0.0009965268,0.00006737133,0.0001287406,0.0005302325,0.000127137],"domain_scores_gemma":[0.9934514,0.00435668,0.00052734,0.0003757833,0.0009981288,0.0002906918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002756266,0.0005119326,0.01836175,0.000562987,0.0001582869,0.0002537088,0.002622197,0.0004898737,0.005354051,0.006101741,0.03401281,0.931295],"study_design_scores_gemma":[0.0004501622,0.003032131,0.1274597,0.00226669,0.001033896,0.00196916,0.02871538,0.04393799,0.04818476,0.05585335,0.6866423,0.000454351],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4290206,0.01532311,0.04335559,0.03809563,0.002237216,0.0008677847,0.001002538,0.003224917,0.4668726],"genre_scores_gemma":[0.9517246,0.004629359,0.02079739,0.001923927,0.000812051,0.0001571938,0.0002475235,0.0001248413,0.01958316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008473072,"threshold_uncertainty_score":0.02834523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0339443984430587,"score_gpt":0.2351059697070592,"score_spread":0.2011615712640005,"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."}}