{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001647294,0.0001327872,0.000220552,0.0002111118,0.00106263,0.0002162099,0.0002148748,0.00007032185,0.000701158],"category_scores_gemma":[0.001590527,0.00009534079,0.0001083205,0.0004434774,0.0006516068,0.0007656243,0.0001514534,0.00006439616,0.0002400025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004378239,"about_ca_system_score_gemma":0.0003055098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001095526,"about_ca_topic_score_gemma":0.01280582,"domain_scores_codex":[0.997682,0.00009575073,0.0005544939,0.0006717035,0.0005793286,0.000416725],"domain_scores_gemma":[0.998744,0.0003357313,0.000225785,0.0004125973,0.0001281753,0.0001537674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000100128,0.0002541006,0.9234616,8.863195e-7,0.00002081872,0.000142287,0.01625629,0.00002008029,0.02856578,0.01079934,0.01388208,0.006586716],"study_design_scores_gemma":[0.0009743637,0.0000562889,0.5134379,0.0001711441,0.00002431288,0.00002000851,0.01792052,0.000008991186,0.01972394,0.2879131,0.1587359,0.001013418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677959,0.00009220146,0.00001982848,0.003069957,0.005480568,0.0003499252,0.000005793736,0.00005856363,0.02312726],"genre_scores_gemma":[0.983474,0.00002796251,0.0004069085,0.00007443081,0.00004666946,0.00006573912,0.000003362712,0.000009370057,0.01589152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4100237,"threshold_uncertainty_score":0.8173002,"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."}}