{"id":"W4312985653","doi":"10.57125/fel.2021.06.25.4","title":"Future event-marketing in an economically unstable environment","year":2021,"lang":"en","type":"article","venue":"Futurity Economics&Law","topic":"Diverse Scientific Research in Ukraine","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Medical Research Group","funders":"","keywords":"Marketing; Business; Promotion (chess); Marketing mix; Return on marketing investment; Context (archaeology); Marketing management; Digital marketing; Product (mathematics); Event (particle physics); Marketing research; Marketing strategy; Service (business); Marketing effectiveness; Business marketing","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001902252,0.0002368645,0.0002986543,0.00004257526,0.0002641111,0.0003018171,0.0006492749,0.0001442679,0.02764487],"category_scores_gemma":[0.00003174746,0.0002742217,0.0001167106,0.000113079,0.0004289858,0.001139944,0.0008463914,0.0003433675,0.003006716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025709,"about_ca_system_score_gemma":0.00005374656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000529392,"about_ca_topic_score_gemma":0.01167449,"domain_scores_codex":[0.9972314,0.0002934948,0.0005000389,0.001055483,0.0001830223,0.0007366174],"domain_scores_gemma":[0.9984882,0.00008971382,0.0001153923,0.0009084148,0.000007965627,0.0003903394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001096234,0.006484518,0.1987283,0.0002423142,0.0003046979,0.001227738,0.007297539,0.2228685,0.0499384,0.3701591,0.0451648,0.09648789],"study_design_scores_gemma":[0.001122423,0.00007134009,0.02132811,0.00001447765,0.000009148232,0.00002022472,0.001090795,0.007617544,0.004095017,0.005764951,0.9582198,0.0006462135],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8558889,0.00006030438,0.00001157272,0.001532722,0.000853183,0.0002542323,0.00007068973,0.0000327362,0.1412957],"genre_scores_gemma":[0.9904218,0.0002392758,0.004092973,0.001336166,0.0004984759,0.00003669691,0.0001313912,0.00004052466,0.003202645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9130549,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163353356687286,"score_gpt":0.2239440712439608,"score_spread":0.212310537677088,"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."}}