{"id":"W2571726571","doi":"10.2139/ssrn.1578302","title":"Tunnel Vision: Local Behavioral Influences on Consumer Decisions in Product Search","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Organizational Management and Leadership","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Attractiveness; Normative; Product (mathematics); Normative model of decision-making; Behavioral modeling; Consumer behaviour; Psychology; Process (computing); Computer science; Marketing; Cognitive psychology; Social psychology; Artificial intelligence; Mathematics; Business","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":[0.00132685,0.0001813285,0.0001672625,0.0005738651,0.00026814,0.0003175256,0.0003829672,0.00005410059,0.0001459032],"category_scores_gemma":[0.0001017085,0.0001541356,0.00006517555,0.0009139776,0.0000693917,0.001037621,0.00004800374,0.001237674,0.0004847083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000283345,"about_ca_system_score_gemma":0.0002943579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009508767,"about_ca_topic_score_gemma":0.0006529958,"domain_scores_codex":[0.9974158,0.00002800173,0.0003160542,0.0002845673,0.0005457777,0.00140973],"domain_scores_gemma":[0.9995268,0.00003833802,0.0001054556,0.0001627138,0.0001457171,0.00002100102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003297997,0.001042634,0.1067325,0.00001377442,0.00005525361,0.00006723418,0.0001411473,0.001941579,0.0003112073,0.5820471,0.002691229,0.3046266],"study_design_scores_gemma":[0.003655367,0.000695162,0.583343,0.0003060308,0.0001407282,0.00009823357,0.008327942,0.0009169337,0.00009892981,0.3808055,0.02052474,0.00108749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810249,0.0007063524,0.001180389,0.01338374,0.0002588936,0.0002673254,3.722804e-7,0.00006833883,0.003109754],"genre_scores_gemma":[0.996631,0.0002375537,0.00002497819,0.001608725,0.0008919545,0.000001910819,0.000008784043,0.00001881421,0.0005762521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4766105,"threshold_uncertainty_score":0.6285468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969423812109841,"score_gpt":0.2875560487772642,"score_spread":0.2578618106561658,"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."}}