{"id":"W3027721908","doi":"10.1016/j.ausmj.2020.05.003","title":"The implications of artificial intelligence on the digital marketing of financial services to vulnerable customers","year":2020,"lang":"en","type":"article","venue":"Australasian Marketing Journal (AMJ)","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":306,"is_retracted":false,"has_abstract":true,"ca_institutions":"Red River College","funders":"","keywords":"Financial services; Marketing; Business; Software deployment; Digital marketing; Marketing research; Finance; Computer science","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":[0.006305285,0.0004582419,0.0002830426,0.002467944,0.004655914,0.01151005,0.0008286617,0.003512291,0.008412421],"category_scores_gemma":[0.02095601,0.0002523125,0.0003537083,0.002690116,0.01535579,0.01276045,0.003855267,0.003874467,0.0008574047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006170147,"about_ca_system_score_gemma":0.003937327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003752931,"about_ca_topic_score_gemma":0.003955712,"domain_scores_codex":[0.9949133,0.003600498,0.0001064844,0.0002113213,0.0007904852,0.0003778565],"domain_scores_gemma":[0.9682701,0.0257077,0.00208271,0.000837524,0.001859079,0.001242829],"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":[0.00009591778,0.0001746192,0.007086202,0.0002080435,0.00002402832,0.0008291299,0.009110924,0.002929272,0.0003352773,0.8901598,0.01020075,0.07884605],"study_design_scores_gemma":[0.00001813872,0.00007050433,0.004862839,0.0007289822,0.00001798629,0.000445653,0.01955428,0.007857133,0.0005933225,0.8974181,0.0683815,0.00005147524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1519362,0.01026261,0.02136648,0.3796509,0.0006196602,0.0001748891,0.0001066018,0.0001118865,0.4357708],"genre_scores_gemma":[0.9745758,0.00735837,0.004692439,0.007637406,0.0003466065,0.00007020395,0.00002509554,0.00002529541,0.005268877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01151005,"threshold_uncertainty_score":0.0447678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759810376180045,"score_gpt":0.2506911033682719,"score_spread":0.2330929996064715,"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."}}