{"id":"W2463671667","doi":"10.1287/mnsc.2016.2547","title":"The Value of Nothing: Asymmetric Attention to Opportunity Costs Drives Intertemporal Decision Making","year":2016,"lang":"en","type":"article","venue":"Management Science","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council","keywords":"Opportunity cost; Economics; Value (mathematics); Task (project management); Microeconomics; Intertemporal choice; Nothing; Actuarial science; Public economics; Computer science; Management","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":[0.003408153,0.0004045088,0.0005179516,0.0006902132,0.0007329548,0.003591488,0.0007449044,0.001619946,0.004581608],"category_scores_gemma":[0.02810815,0.0003993916,0.0004626624,0.000616281,0.003240613,0.004239135,0.002127121,0.001941826,0.0002408345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215347,"about_ca_system_score_gemma":0.0006055428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001360204,"about_ca_topic_score_gemma":0.001143275,"domain_scores_codex":[0.9975362,0.001218692,0.00008744819,0.0004632731,0.0004340738,0.0002604513],"domain_scores_gemma":[0.9816253,0.01222788,0.003012386,0.001743798,0.0005785541,0.0008121401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001617109,0.0004520028,0.08504134,0.0006031923,0.0004573579,0.001687814,0.0108575,0.02510928,0.0151791,0.6902473,0.004608143,0.1641399],"study_design_scores_gemma":[0.00005772262,0.0001223611,0.03854126,0.0000651656,0.000102751,0.0004295621,0.001130922,0.02708254,0.001292975,0.9273267,0.003783171,0.00006469592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8114699,0.001398625,0.09410075,0.01060263,0.0001728201,0.0000591322,0.0001230923,0.00007394014,0.08199911],"genre_scores_gemma":[0.9955818,0.0001692477,0.003023827,0.0003648997,0.000043213,0.00001507364,0.00001679925,0.00001456011,0.0007705734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004581608,"threshold_uncertainty_score":0.01802421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09382239497470354,"score_gpt":0.4047060589372836,"score_spread":0.31088366396258,"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."}}