{"id":"W2151353364","doi":"10.1002/pa.1470","title":"Bittersweet! Understanding and Managing Electronic Word of Mouth","year":2013,"lang":"en","type":"article","venue":"Journal of Public Affairs","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Unpacking; Viral marketing; Advertising; Consumption (sociology); Social media; Word of mouth; Business; Context (archaeology); Marketing; Sociology; Computer science; World Wide Web","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":[0.002998423,0.0007264865,0.0003052572,0.001739236,0.001865897,0.01031345,0.001149646,0.003304739,0.01500231],"category_scores_gemma":[0.008437628,0.0006375949,0.0004164199,0.001132778,0.003541937,0.03025348,0.004544645,0.001702611,0.002801237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472916,"about_ca_system_score_gemma":0.001748546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003076496,"about_ca_topic_score_gemma":0.002419878,"domain_scores_codex":[0.9982729,0.0008147815,0.0001323717,0.000233932,0.0003675392,0.0001785885],"domain_scores_gemma":[0.9967327,0.001698455,0.0007174538,0.0002535971,0.0003606875,0.0002371195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001488231,0.0001726334,0.009191126,0.001200353,0.00003362048,0.001478286,0.07074006,0.002446269,0.007812647,0.5069174,0.03759351,0.3622654],"study_design_scores_gemma":[0.00002587571,0.0001431813,0.007809225,0.001787873,0.00004410889,0.001492328,0.06248888,0.02842162,0.00347577,0.3500555,0.5441297,0.0001260338],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1699662,0.01562886,0.2851231,0.07224564,0.001068378,0.0006879569,0.0007392066,0.002097096,0.4524437],"genre_scores_gemma":[0.7960136,0.009969622,0.1353436,0.003712441,0.0005196202,0.000520861,0.0004866144,0.0004599587,0.05297366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01500231,"threshold_uncertainty_score":0.05018771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03510218430714895,"score_gpt":0.2638057766629918,"score_spread":0.2287035923558428,"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."}}