{"id":"W2128674763","doi":"10.1007/s11002-005-5898-9","title":"Incorporating Behavioral Anomalies in Strategic Models","year":2005,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Phenomenon; Core (optical fiber); Behavioral economics; Key (lock); Consumer behaviour; Management science; Prospect theory; Economics; Positive economics; Marketing; Computer science; Microeconomics; Epistemology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004936842,0.0008590656,0.001399067,0.001592694,0.0007123174,0.002392809,0.001977377,0.002915772,0.003729224],"category_scores_gemma":[0.0383255,0.001287856,0.0009290578,0.001446218,0.001656962,0.00533374,0.001515503,0.003249183,0.0004179972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002100357,"about_ca_system_score_gemma":0.0019164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01740107,"about_ca_topic_score_gemma":0.01382441,"domain_scores_codex":[0.9985227,0.0007930522,0.00006107863,0.0001767487,0.0002060457,0.0002403693],"domain_scores_gemma":[0.9732828,0.02220158,0.001705465,0.001072181,0.001118726,0.0006193122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005447704,0.00007345249,0.003495426,0.00001846022,0.00003664699,0.00008349223,0.00007559032,0.873978,0.0001056848,0.1165519,0.0007127474,0.004814154],"study_design_scores_gemma":[0.000004706582,0.000004730811,0.0001176135,0.000001638596,0.0000056901,0.00000463509,0.00000622658,0.9697063,0.00002024929,0.03003335,0.00009062589,0.000004292943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.403969,0.0004440158,0.5777425,0.004620877,0.0003460651,0.0000651957,0.0004777457,0.0007697387,0.01156498],"genre_scores_gemma":[0.9856706,0.0002069364,0.01047877,0.0001281488,0.0001168859,0.00003513022,0.000123134,0.00007499457,0.003165408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01740107,"threshold_uncertainty_score":0.03459954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04037146380607631,"score_gpt":0.2420227828320245,"score_spread":0.2016513190259482,"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."}}