{"id":"W4406774849","doi":"10.1108/ejm-12-2023-0911","title":"Knowledge, attitude and practice towards blockchain potential for digital marketing: scale development and validation","year":2025,"lang":"en","type":"article","venue":"European Journal of Marketing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Blockchain; Structural equation modeling; Scale (ratio); Exploratory factor analysis; Exploratory research; Marketing; Reliability (semiconductor); Marketing research; Digital marketing; Computer science; Knowledge management; Business; Machine learning; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0356457,0.0001262305,0.000201453,0.0001399561,0.0006149918,0.0005985412,0.0001786175,0.00003901762,0.000005038475],"category_scores_gemma":[0.04369866,0.0001242959,0.00006619743,0.0001789402,0.0001846794,0.0003262041,0.0001360646,0.0001682539,0.000001609222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007307927,"about_ca_system_score_gemma":0.0003036211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002515303,"about_ca_topic_score_gemma":0.00000546413,"domain_scores_codex":[0.9960604,0.002591409,0.0005496949,0.000197783,0.0003159915,0.0002847383],"domain_scores_gemma":[0.9947867,0.004127881,0.0003965755,0.00005779042,0.0004673822,0.0001636174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001422597,0.0001136917,0.002259143,0.000153353,0.0001038277,0.00003064347,0.009321407,0.000004035274,0.00008685214,0.0001745799,0.002301743,0.9840281],"study_design_scores_gemma":[0.00258744,0.000169204,0.1212518,0.002291711,0.0002175642,0.00007961888,0.04493135,0.00008446148,0.0001402648,0.000267451,0.8273981,0.0005811188],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6473592,0.0008172929,0.0008831025,0.002062962,0.0006112183,0.0001684241,0.000002560206,0.00002783602,0.3480674],"genre_scores_gemma":[0.9881993,0.0001385389,0.00785646,0.00007742023,0.0005336742,0.000001669662,0.000001399186,0.00001829172,0.00317325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.983447,"threshold_uncertainty_score":0.9930057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967731923840163,"score_gpt":0.3060719744504545,"score_spread":0.2863946552120529,"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."}}