{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001831081,0.00006643511,0.0001852013,0.0001912872,0.0001586001,0.0002123626,0.0001841361,0.00005580615,0.0000927047],"category_scores_gemma":[0.0007261565,0.00005833026,0.00007574662,0.0002919319,0.0002605521,0.0007893182,0.0000301066,0.0001769602,0.000002698227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002343296,"about_ca_system_score_gemma":0.00024618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001443231,"about_ca_topic_score_gemma":0.0001257405,"domain_scores_codex":[0.9987313,0.0001700873,0.0002746991,0.0000714136,0.0004081158,0.0003443742],"domain_scores_gemma":[0.9990295,0.000257966,0.0003286523,0.00005093969,0.0001427362,0.0001902587],"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":[0.00004385281,0.000184859,0.02116199,0.00008382849,0.0003783398,0.00001808292,0.06889188,0.000005979402,0.0004158936,0.4600472,0.01115021,0.4376178],"study_design_scores_gemma":[0.0009318382,0.0001631631,0.008168037,0.0002192944,0.00005612001,0.00001190562,0.7809314,0.00004647891,0.00002245881,0.1914568,0.01768759,0.000304913],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8136584,0.0004723284,0.0008213046,0.0153014,0.0003920195,0.0001238018,6.243317e-7,0.00002386337,0.1692063],"genre_scores_gemma":[0.9989547,0.0002091841,0.0001217337,0.00003152779,0.0002102417,8.523754e-7,1.55939e-7,0.00000746617,0.0004641239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7120395,"threshold_uncertainty_score":0.2378639,"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."}}