{"id":"W2792477198","doi":"10.1007/s11002-018-9447-8","title":"Risking the self: the impact of self-esteem on negative word-of-mouth behavior","year":2018,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Toronto Metropolitan University; HEC Montréal","funders":"HEC Montréal; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Word of mouth; Psychology; Social psychology; Competence (human resources); Trait; Self-esteem; Dimension (graph theory); Word (group theory); Negative information; Advertising; Computer science; Linguistics; Business; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005341592,0.0001556537,0.0002097133,0.00005535643,0.0007718945,0.0001099869,0.0005558252,0.00007372976,0.00005673692],"category_scores_gemma":[0.003757511,0.00009152127,0.0002256957,0.0004860527,0.000899922,0.0001003396,0.00007619952,0.0002449523,0.00001183566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453304,"about_ca_system_score_gemma":0.0001436437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052212,"about_ca_topic_score_gemma":0.0001462541,"domain_scores_codex":[0.9968544,0.001668985,0.0002907652,0.0002046936,0.0005644893,0.0004167193],"domain_scores_gemma":[0.9943776,0.00476514,0.0003706914,0.0002777246,0.0001387195,0.00007009459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0008545341,0.0008610596,0.2618938,0.00007701803,0.0006324318,0.00001869557,0.4969662,0.00003037498,0.001857272,0.0008951547,0.02740145,0.2085121],"study_design_scores_gemma":[0.0003608484,0.0001413837,0.9751846,0.0002682359,0.0001216155,9.823593e-7,0.02022656,0.00003560479,0.0002697313,0.0001211741,0.002985104,0.0002841309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490176,0.00001160134,0.000001365087,0.002472816,0.0004034541,0.0003451475,0.000008205961,0.00009267897,0.04764716],"genre_scores_gemma":[0.9986709,0.00001028901,0.0001757003,0.0003359703,0.0006423325,0.00001983087,5.997824e-7,0.00001902345,0.0001253276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7132909,"threshold_uncertainty_score":0.5936867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167853155480806,"score_gpt":0.3074463450720536,"score_spread":0.290661029523973,"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."}}