{"id":"W2789906573","doi":"10.1007/s40547-018-0089-z","title":"Understanding Influence of Marketing Thought on Practice: an Analysis of Business Journals Using Textual and Latent Dirichlet Allocation (LDA) Analysis","year":2018,"lang":"en","type":"article","venue":"Customer Needs and Solutions","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Marketing; Marketing research; Latent Dirichlet allocation; Marketing management; Quantitative marketing research; Quantitative analysis (chemistry); Product (mathematics); Marketing science; Service (business); Promotion (chess); Return on marketing investment; Sociology; Business; Relationship marketing; Topic model; Political science; Computer science; Politics; Mathematics","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006167402,0.0002523592,0.0004195567,0.01249403,0.001088099,0.00437924,0.0005516993,0.0007617776,0.002106452],"category_scores_gemma":[0.0919747,0.0002363005,0.0003109495,0.01120718,0.001580214,0.003870374,0.001860508,0.0008424681,0.0003154925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627242,"about_ca_system_score_gemma":0.001348416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004067309,"about_ca_topic_score_gemma":0.00546374,"domain_scores_codex":[0.9936342,0.003378955,0.0006600991,0.0005056119,0.001555496,0.0002655542],"domain_scores_gemma":[0.7504078,0.213021,0.01981855,0.003179222,0.01131207,0.002261387],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00144533,0.0005133224,0.6695936,0.001582479,0.000372946,0.0006604091,0.1271794,0.0009722168,0.01207718,0.00939177,0.003871416,0.1723399],"study_design_scores_gemma":[0.00007697802,0.0002537945,0.9155817,0.0004350026,0.0002893527,0.0005478694,0.04510999,0.01272251,0.003116004,0.005472059,0.01628378,0.0001110507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886203,0.0007720936,0.003208781,0.0007899824,0.00003802661,0.00005232916,0.0005815537,0.0000641319,0.005872773],"genre_scores_gemma":[0.9971034,0.0002110499,0.001596152,0.00007343516,0.00007616208,0.00005120718,0.0004116373,0.00003603184,0.0004410005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9938326,"threshold_uncertainty_score":0.03261667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1327266422179293,"score_gpt":0.3316511298428051,"score_spread":0.1989244876248759,"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."}}