{"id":"W335155836","doi":"10.4324/9781315714790-13","title":"Now or Later: Synchrony Effects on Electronic Word-of-Mouth Content","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Feeling; Content (measure theory); Consumption (sociology); Word of mouth; Psychology; Social psychology; Field (mathematics); Orientation (vector space); Advertising; Business; Sociology","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":[0.002416797,0.0003738363,0.0004581157,0.000603276,0.0007515004,0.00287919,0.0003786433,0.0007108671,0.01352762],"category_scores_gemma":[0.04367057,0.0003267892,0.000370763,0.0006500643,0.0009335717,0.00373759,0.002496492,0.001190806,0.001061409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004289103,"about_ca_system_score_gemma":0.0002898081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008035773,"about_ca_topic_score_gemma":0.0006913943,"domain_scores_codex":[0.9981683,0.0006272292,0.0001319312,0.0004602082,0.0004399452,0.0001723118],"domain_scores_gemma":[0.9635879,0.02726985,0.005459177,0.001582818,0.0009398866,0.001160419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01830826,0.002568508,0.5231059,0.001975275,0.0006521002,0.001935462,0.1174507,0.002010906,0.1630797,0.01323331,0.002488818,0.1531911],"study_design_scores_gemma":[0.0002022855,0.001285903,0.9635999,0.0001992566,0.0002887885,0.0003846393,0.01525654,0.002070225,0.006795494,0.005711233,0.004121679,0.00008411963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864323,0.0002368685,0.001241076,0.0001699566,0.00005421267,0.00006031002,0.000187775,0.00004160461,0.01157595],"genre_scores_gemma":[0.997969,0.0001183924,0.0007175062,0.00008929914,0.00005145149,0.00005608743,0.0001352974,0.00005174649,0.0008113077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01352762,"threshold_uncertainty_score":0.04525441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738538378538182,"score_gpt":0.289748458352615,"score_spread":0.2623630745672332,"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."}}