{"id":"W2131397563","doi":"10.1073/pnas.1118607109","title":"Culture does account for variation in game behavior","year":2012,"lang":"en","type":"letter","venue":"Proceedings of the National Academy of Sciences","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Advancing Health Outcomes; Providence Health Care; University of British Columbia","funders":"","keywords":"Zero-knowledge proof; Computer science; Hash function; Statement (logic); Gas meter prover; Theoretical computer science; Cryptography; Proof of concept; Variation (astronomy); Programming language; Algorithm; Mathematics; Mathematical proof","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":[],"consensus_categories":[],"category_scores_codex":[0.001800786,0.0001539453,0.000278301,0.0001992459,0.0003426437,0.00005940507,0.001111972,0.0004856747,0.0000241926],"category_scores_gemma":[0.0003618615,0.0000993068,0.0001402681,0.0004153635,0.001289001,0.0007980929,0.0001484552,0.0004508598,0.000001561081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000328376,"about_ca_system_score_gemma":0.00007685325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002315778,"about_ca_topic_score_gemma":0.000004582788,"domain_scores_codex":[0.9978288,0.00001262255,0.0004421491,0.0003085083,0.00108963,0.0003182696],"domain_scores_gemma":[0.9986993,0.0001372175,0.0008213796,0.000008097285,0.0003108902,0.00002308492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004325433,0.000484335,0.08815781,0.0005311917,0.00009074996,4.339671e-8,0.05836242,0.00001063781,0.1354837,0.213572,0.5025981,0.0006657917],"study_design_scores_gemma":[0.001083942,0.0001719336,0.1589204,0.000713594,0.0003270352,0.000003915692,0.01042057,0.00004957027,0.06302457,0.210018,0.5538852,0.001381242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3521795,0.0008202001,4.086371e-7,0.6170652,0.0006235223,0.003124136,0.000394754,0.00004339058,0.0257489],"genre_scores_gemma":[0.9656361,0.0001350308,0.001367522,0.02872244,0.001944973,0.0003782615,0.000001617554,0.0000134251,0.001800674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6134565,"threshold_uncertainty_score":0.4749378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06998284075140274,"score_gpt":0.3712387188058362,"score_spread":0.3012558780544334,"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."}}