{"id":"W3202302905","doi":"","title":"Truth, Honesty, and Strategic Interactions","year":2021,"lang":"en","type":"article","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Honesty; Strategic complements; Dominance (genetics); Microeconomics; Context (archaeology); Economics; Strategic interaction; Product (mathematics); Natural (archaeology); Mathematical economics; Psychology; Positive economics; Social psychology; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001327023,0.0001559025,0.0002128754,0.0001634583,0.001338101,0.00009354866,0.0003084875,0.00005586051,0.0003295189],"category_scores_gemma":[0.00006617814,0.000198029,0.0001176289,0.0003156268,0.0007455921,0.000363099,0.0005249997,0.0002974858,0.00003488805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002843381,"about_ca_system_score_gemma":0.0003471949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002966184,"about_ca_topic_score_gemma":0.02288099,"domain_scores_codex":[0.9986416,0.0003141651,0.0001289749,0.0003989315,0.0001721896,0.0003441908],"domain_scores_gemma":[0.9990242,0.000340004,0.00007563425,0.0002419651,0.0001025835,0.0002156634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001081233,0.0004503095,0.01551015,0.00001864886,0.0002311247,0.0007138163,0.07629379,0.000004473196,0.006326118,0.8974206,0.000355753,0.002567132],"study_design_scores_gemma":[0.00152788,0.0001657171,0.005333186,0.0001124186,0.0001680866,0.00007622762,0.6760626,0.0003366133,0.0005825527,0.01406921,0.3006473,0.0009181474],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5905415,0.0002858352,0.000008519321,0.000884591,0.0001697176,0.000085793,0.00003918659,0.00005616511,0.4079287],"genre_scores_gemma":[0.9778847,0.001901637,0.001181875,0.00007115105,0.00007622087,0.000001634405,0.00002744948,0.00001363364,0.01884176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8833513,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04846084312158099,"score_gpt":0.2956969285457132,"score_spread":0.2472360854241322,"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."}}