{"id":"W3124837381","doi":"10.1509/jmr.13.0606","title":"Using Single-Neuron Recording in Marketing: Opportunities, Challenges, and an Application to Fear Enhancement in Communications","year":2015,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Recall; Categorization; Relevance (law); Neuromarketing; Neuron; Psychology; Computer science; Cognitive psychology; Neuroscience; Artificial intelligence","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":[0.0008828002,0.0002681421,0.000449619,0.000336318,0.0003852443,0.0009747879,0.0007302935,0.001136001,0.001157283],"category_scores_gemma":[0.001278619,0.0002285633,0.0003823721,0.0003960491,0.001571649,0.001343567,0.0006700646,0.0008706067,0.0002614277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004957668,"about_ca_system_score_gemma":0.0003621779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001339658,"about_ca_topic_score_gemma":0.00266679,"domain_scores_codex":[0.9996786,0.000103338,0.00002362218,0.00007695283,0.00008643991,0.00003108778],"domain_scores_gemma":[0.99926,0.0004632571,0.00005376545,0.000110437,0.00007136091,0.00004117632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003033339,0.0001442247,0.00422459,0.0006661382,0.00007207195,0.0005551216,0.0006071659,0.00151493,0.7860268,0.01129286,0.000889603,0.1937033],"study_design_scores_gemma":[0.0002065048,0.003260418,0.06891548,0.0006733024,0.0003260673,0.009695565,0.002649694,0.05746092,0.6997762,0.1113914,0.04534544,0.0002990153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3534248,0.02103061,0.6078351,0.004727765,0.0007421596,0.0002917558,0.0002767773,0.0006695178,0.01100151],"genre_scores_gemma":[0.6646483,0.01414769,0.3166577,0.0009286526,0.0003374834,0.0003631312,0.00007549752,0.00008488074,0.002756623],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001339658,"threshold_uncertainty_score":0.004668772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7908052423340105,"score_gpt":0.5336265747619762,"score_spread":0.2571786675720343,"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."}}