{"id":"W1521079568","doi":"10.2139/ssrn.1975146","title":"Language, Deception, and Social Loss in an Investment/Trust Game","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Deception; Investment (military); Social psychology; Psychology; Business; Law and economics; Economics; Microeconomics; Political science; Law","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":[0.00492191,0.0005707099,0.0008630488,0.0004406714,0.0008109725,0.003310024,0.0007867594,0.002110291,0.00669308],"category_scores_gemma":[0.02471473,0.0003209809,0.0003666051,0.0002936655,0.003281969,0.00381036,0.001636023,0.002971033,0.0003073672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301999,"about_ca_system_score_gemma":0.001159858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002164138,"about_ca_topic_score_gemma":0.001727724,"domain_scores_codex":[0.9975674,0.001451214,0.0001282502,0.000147082,0.0003134116,0.0003927319],"domain_scores_gemma":[0.9707182,0.0223927,0.004038829,0.0009848106,0.0004671428,0.00139831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.008379653,0.003582171,0.05431155,0.0005406935,0.000448634,0.003170045,0.007908088,0.1029478,0.01847264,0.7411307,0.003460803,0.05564724],"study_design_scores_gemma":[0.0008524308,0.001939271,0.02807779,0.00007249224,0.0002633884,0.0009082495,0.004127584,0.316641,0.001682558,0.6439919,0.001248299,0.0001949772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690533,0.0001500054,0.01318913,0.001857969,0.00002822344,0.00004300746,0.00004468419,0.00002067614,0.01561313],"genre_scores_gemma":[0.9981138,0.00003969911,0.0005610714,0.00005385641,0.000007512685,0.00001440367,0.000006014477,0.000002552214,0.001201099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00669308,"threshold_uncertainty_score":0.02602988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03058720779509557,"score_gpt":0.3244035917397576,"score_spread":0.293816383944662,"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."}}