{"id":"W1647946654","doi":"","title":"Comparing forced and unforced choices in a choice experiment: the role of reference dependent preferences","year":2013,"lang":"en","type":"article","venue":"International Choice Modelling Conference 2013","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Respondent; Multinomial logistic regression; Choice set; Two-alternative forced choice; Discrete choice; Set (abstract data type); Econometrics; Economics; Status quo bias; Status quo; Loss aversion; Microeconomics; Mathematics; Computer science; Statistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2436617,0.001712616,0.003755175,0.001603736,0.001635167,0.007896141,0.004085816,0.006152709,0.009245404],"category_scores_gemma":[0.5264584,0.001665842,0.004304431,0.002908231,0.008176676,0.01273873,0.00610616,0.008362158,0.001242487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002772429,"about_ca_system_score_gemma":0.001659236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044616,"about_ca_topic_score_gemma":0.0008005564,"domain_scores_codex":[0.6147052,0.331824,0.01353165,0.01375281,0.02377678,0.00240958],"domain_scores_gemma":[0.1863042,0.7342349,0.03031948,0.04162192,0.005704005,0.001815503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.1276188,0.02993044,0.1070558,0.005773203,0.010567,0.001217072,0.03286156,0.07817119,0.02953573,0.2833569,0.003792295,0.29012],"study_design_scores_gemma":[0.01459495,0.04294679,0.1303864,0.001300073,0.002201217,0.0006297922,0.00351093,0.2598718,0.02372647,0.5027738,0.01564436,0.002413517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7279052,0.0006244872,0.2538406,0.001055799,0.000650332,0.003564666,0.0007208442,0.0002872582,0.01135076],"genre_scores_gemma":[0.8276579,0.0003722399,0.1549409,0.00163686,0.0002605962,0.01139747,0.0009408525,0.0001685444,0.002624665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2436617,"threshold_uncertainty_score":0.9326998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1525952231224916,"score_gpt":0.2516410237214822,"score_spread":0.09904580059899065,"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."}}