{"id":"W4234419312","doi":"10.1006/game.2001.0899","title":"Chores","year":2002,"lang":"en","type":"article","venue":"Games and Economic Behavior","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Public good; Outcome (game theory); Subgame perfect equilibrium; Economics; Microeconomics; Mathematical economics; Subgame; Wage; Nash equilibrium; Strategic dominance; Private information retrieval; Best response; Computer science; Epsilon-equilibrium; Labour economics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001606489,0.0001604923,0.0003515437,0.00009867925,0.00009770537,0.0001084436,0.0001520316,0.00009363153,0.006621186],"category_scores_gemma":[0.000006162601,0.0001919607,0.00009839066,0.00002119051,0.00009301256,0.0002635391,0.00006972262,0.00009315312,0.002510428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007006822,"about_ca_system_score_gemma":0.000002905021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002599249,"about_ca_topic_score_gemma":0.00003353481,"domain_scores_codex":[0.9987883,0.00000401569,0.000466951,0.0004320918,0.000006667522,0.0003019848],"domain_scores_gemma":[0.9993874,0.00001800546,0.0001650069,0.0003011758,0.000003819094,0.0001245671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006697987,0.00008671061,0.1229351,0.00001219641,0.00003990678,0.000005137341,0.0007074918,0.00003586505,0.00001259548,0.8462215,0.007645487,0.02229133],"study_design_scores_gemma":[0.002138668,0.0001942867,0.1262248,0.00001697926,0.00004612356,0.00009664048,0.0004142058,0.01036877,0.0001153355,0.06654727,0.7923927,0.00144415],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409344,0.003895156,0.000093979,0.0005111471,0.0006210539,0.0001631554,0.0001837387,0.00005415294,0.05354323],"genre_scores_gemma":[0.9892745,0.001369352,0.0002747039,0.0002007932,0.0001811303,0.00006324871,0.000005794723,0.00002843672,0.008602059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7847472,"threshold_uncertainty_score":0.9982662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290621865019284,"score_gpt":0.2037744645250457,"score_spread":0.1608682458748529,"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."}}