{"id":"W2295373936","doi":"10.1038/srep20479","title":"Negative outcomes evoke cyclic irrational decisions in Rock, Paper, Scissors","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ontario Ministry of Research and Innovation","keywords":"Downgrade; Outcome (game theory); Predictability; Psychology; Irrational number; Social psychology; Vulnerability (computing); Cognition; Cognitive psychology; Microeconomics; Economics; Computer science; Computer security; Statistics; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001601894,0.0003279655,0.0002843094,0.0003404357,0.0003018064,0.0009836452,0.0002457574,0.0004776983,0.003697962],"category_scores_gemma":[0.01057951,0.0002200755,0.0001973731,0.0001800275,0.0007536975,0.0004019596,0.000815326,0.0005762206,0.0004168492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569557,"about_ca_system_score_gemma":0.0001980172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008276953,"about_ca_topic_score_gemma":0.001536542,"domain_scores_codex":[0.9986418,0.0006460869,0.00009297628,0.0001342292,0.000350108,0.0001348374],"domain_scores_gemma":[0.9952956,0.002572418,0.001227901,0.0004017614,0.000127667,0.0003746391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01820141,0.006450634,0.4172234,0.0006902154,0.000486507,0.002532483,0.01573741,0.005034985,0.3982297,0.005906099,0.001867231,0.1276399],"study_design_scores_gemma":[0.0003266996,0.01463885,0.9142396,0.000115601,0.0001755334,0.001126755,0.008517517,0.01012197,0.03731057,0.008560963,0.004726314,0.0001397466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987053,0.000007343017,0.0001588018,0.00001425324,0.000003119613,0.000006344473,0.000005344538,0.00000518043,0.00109431],"genre_scores_gemma":[0.9987142,0.00002076174,0.0004232188,0.00002521903,0.000003274285,0.00002023198,0.00002156421,0.000006960863,0.0007645126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003697962,"threshold_uncertainty_score":0.01237088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04529148366380453,"score_gpt":0.3519120082478885,"score_spread":0.306620524584084,"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."}}