{"id":"W2146595489","doi":"10.1002/cb.252","title":"Neuroethics of neuromarketing","year":2008,"lang":"en","type":"article","venue":"Journal of Consumer Behaviour","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":300,"is_retracted":false,"has_abstract":true,"ca_institutions":"NeuroDevNet; University of British Columbia","funders":"British Columbia Knowledge Development Fund; Dana Foundation; Dana Alliance for Brain Initiatives; Canadian Institutes of Health Research; University of British Columbia; University of Cambridge","keywords":"Neuromarketing; Marketing; Premise; Business; Autonomy; Neuroethics; Advertising; Psychology; Internet privacy; Computer science; Political science; Law; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.05377817,0.0004085152,0.0005273459,0.001054959,0.00618859,0.008411613,0.001364251,0.01231202,0.004559116],"category_scores_gemma":[0.07576004,0.0004086108,0.0004621143,0.0006252266,0.04746209,0.005783944,0.006774158,0.008965956,0.001103138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003201968,"about_ca_system_score_gemma":0.00846807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253899,"about_ca_topic_score_gemma":0.001267705,"domain_scores_codex":[0.9386378,0.04587087,0.002732777,0.002590948,0.008863029,0.00130458],"domain_scores_gemma":[0.9164324,0.05680135,0.007399928,0.008992839,0.006727223,0.003646153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004817712,0.00009528152,0.002300479,0.0001287099,0.00001418174,0.0004048941,0.005896925,0.0003282676,0.0006582681,0.9461563,0.008359364,0.03560904],"study_design_scores_gemma":[0.00004036103,0.0001646385,0.002479423,0.001290331,0.00002054159,0.001996584,0.003929701,0.001650995,0.001453886,0.7946957,0.1922058,0.00007205328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04074978,0.01336106,0.079204,0.5173262,0.002376938,0.0004948504,0.00006349949,0.0001047333,0.346319],"genre_scores_gemma":[0.8258969,0.005608548,0.03457721,0.0961455,0.002228058,0.001428016,0.00003572392,0.00005814922,0.0340221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9938114,"threshold_uncertainty_score":0.2844096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1364129402690837,"score_gpt":0.3366689745422153,"score_spread":0.2002560342731316,"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."}}