{"id":"W3129242113","doi":"10.1287/mnsc.2020.3814","title":"Bounded Rationality in Strategic Decisions: Undershooting in a Resource Pool-Choice Dilemma","year":2021,"lang":"en","type":"article","venue":"Management Science","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bounded rationality; Dilemma; Resource (disambiguation); Normative; Seekers; Function (biology); Benchmark (surveying); Economics; Rationality; Microeconomics; Marketing; Business; Computer science; Mathematics; Political science","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":[0.01689154,0.0007068568,0.001114087,0.0008470321,0.001179578,0.003166257,0.00103467,0.001629801,0.001679249],"category_scores_gemma":[0.04335674,0.0003364654,0.0006731158,0.0007093326,0.008688458,0.003941775,0.002352691,0.002173151,0.0001965616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073874,"about_ca_system_score_gemma":0.002172527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001887987,"about_ca_topic_score_gemma":0.001125969,"domain_scores_codex":[0.9823682,0.01365057,0.0004428832,0.0009731005,0.001750313,0.0008149093],"domain_scores_gemma":[0.9529541,0.03827456,0.004365518,0.002115358,0.001136663,0.001153747],"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":[0.0004715386,0.0002124017,0.007400583,0.0001821379,0.0001583897,0.0006629298,0.004265144,0.09447903,0.002721764,0.8646129,0.0009524361,0.02388063],"study_design_scores_gemma":[0.0001153568,0.0001478141,0.001941487,0.0000455852,0.00002370192,0.0001109251,0.0008959966,0.1093988,0.0006729681,0.8845347,0.00208195,0.00003075877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6668033,0.0006319054,0.27079,0.00527351,0.00008538063,0.0002598216,0.00005319226,0.00005515396,0.05604783],"genre_scores_gemma":[0.9881411,0.0001222226,0.01011999,0.0002346656,0.00002074078,0.0001084511,0.000009133471,0.00000750567,0.001236284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01689154,"threshold_uncertainty_score":0.08933204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1319269162492984,"score_gpt":0.3881122386313267,"score_spread":0.2561853223820282,"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."}}