{"id":"W1991209653","doi":"10.1007/s11002-008-9057-y","title":"Towards a brain-to-society systems model of individual choice","year":2008,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; The Quebec Population Health Research Network; Montreal Neurological Institute and Hospital; Queen's University; McGill University","funders":"","keywords":"Aggregate (composite); Consumer choice; Discrete choice; Computer science; Dual (grammatical number); Process (computing); Function (biology); Competition (biology); Consumer behaviour; Management science; Microeconomics; Economics; Psychology; Machine learning; Social psychology; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007090935,0.0001356459,0.0001695888,0.00006706467,0.0001802105,0.00004027709,0.0002969641,0.00004724903,0.000006410185],"category_scores_gemma":[0.001176513,0.0001277912,0.0001160959,0.0003025914,0.00008704529,0.00009967028,0.0001303177,0.0001608313,0.000008050087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004126251,"about_ca_system_score_gemma":0.00002723165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003582899,"about_ca_topic_score_gemma":7.157885e-7,"domain_scores_codex":[0.9984211,0.000185089,0.0002467861,0.0003642312,0.0004922873,0.0002905304],"domain_scores_gemma":[0.9989378,0.000621664,0.0001198918,0.0002154582,0.0000254622,0.00007968915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003632,0.00002471874,0.001053381,0.00006001694,0.000007222686,0.000006764868,0.0004125358,0.01708563,0.9430749,0.00004915246,0.03739822,0.0007910838],"study_design_scores_gemma":[0.001491806,0.0001768493,0.0497078,0.0002629638,0.00004150241,0.0001596174,0.0001238731,0.8917769,0.043435,0.00002339825,0.0117952,0.00100506],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899283,0.000005305165,0.002682981,0.005656072,0.0003584307,0.0002147462,0.00003258737,0.00007944211,0.001042116],"genre_scores_gemma":[0.9799495,0.000005207859,0.0006888103,0.01873714,0.000109099,0.00001475069,0.000002608381,0.00002203177,0.0004708443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.89964,"threshold_uncertainty_score":0.5211173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04396878419854931,"score_gpt":0.2426352338082127,"score_spread":0.1986664496096634,"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."}}