{"id":"W3165105165","doi":"10.1108/et-02-2021-0038","title":"Teaching marketing to non-marketing majors: tools to enhance their engagement and academic performance","year":2021,"lang":"en","type":"article","venue":"Education + Training","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Originality; Extant taxon; Marketing science; Marketing; Structural equation modeling; Marketing management; Marketing research; Marketing mix; Psychology; Student engagement; Relationship marketing; Mathematics education; Computer science; Business; Creativity; Social psychology","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":[0.005757126,0.0004388506,0.0003630039,0.001104062,0.00125742,0.004936716,0.00125962,0.0006204341,0.01073155],"category_scores_gemma":[0.01537587,0.0002207787,0.0004218308,0.0009529109,0.0008609892,0.001819069,0.003533273,0.001087682,0.002629338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000392,"about_ca_system_score_gemma":0.002941411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003205393,"about_ca_topic_score_gemma":0.001259416,"domain_scores_codex":[0.9969574,0.001758167,0.0001225065,0.0002560253,0.0005144075,0.0003914514],"domain_scores_gemma":[0.9834178,0.006776088,0.002029826,0.000842635,0.0008937854,0.006039853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002790094,0.009221415,0.03555627,0.001349425,0.00003445775,0.0002664267,0.02267215,0.0002018536,0.006451441,0.001855631,0.01092229,0.9111898],"study_design_scores_gemma":[0.0008798584,0.01778848,0.3960317,0.003122479,0.0004936476,0.001480864,0.1364037,0.004622215,0.02830571,0.01929392,0.3913096,0.0002679683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473763,0.001400044,0.01281104,0.005676767,0.0002599644,0.00109951,0.0001418801,0.001057082,0.03017726],"genre_scores_gemma":[0.9311425,0.001534714,0.05638772,0.001290278,0.0002106614,0.000808498,0.0001663766,0.00009197993,0.008367125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01073155,"threshold_uncertainty_score":0.03590059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371493750727567,"score_gpt":0.2990173516462242,"score_spread":0.2618679765734675,"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."}}