{"id":"W2138590550","doi":"","title":"A General Test of Gaming","year":2004,"lang":"en","type":"article","venue":"Cadmus - EUI Research Repository (European University Institute)","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Incentive; Dysfunctional family; Measure (data warehouse); Psychology; Test (biology); Simple (philosophy); Cognitive psychology; Selection (genetic algorithm); Correlation; Social psychology; Econometrics; Microeconomics; Computer science; Economics; Artificial intelligence; Mathematics; Data mining","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001010073,0.0001208215,0.0001820184,0.0002526519,0.001900185,0.00007416145,0.0007040612,0.000061601,0.00001042711],"category_scores_gemma":[0.0002896607,0.0001456135,0.0001021649,0.0004370477,0.002375888,0.0005573141,0.0004544781,0.0003322934,0.0000983936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262169,"about_ca_system_score_gemma":0.0005986967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01309905,"about_ca_topic_score_gemma":0.001161205,"domain_scores_codex":[0.9980047,0.0004738751,0.0002040318,0.0003537677,0.0004790605,0.0004845037],"domain_scores_gemma":[0.9989233,0.0001043145,0.00009535701,0.0003150797,0.0003057363,0.0002562073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001935872,0.001447195,0.05337195,0.00008370523,0.000175842,0.006994052,0.07934225,0.0007715865,0.3869891,0.4644547,0.002595555,0.003580527],"study_design_scores_gemma":[0.004989825,0.001131659,0.05434792,0.0004770044,0.000109989,0.00007910532,0.1014684,0.00002270535,0.1361763,0.0005994949,0.6990752,0.001522289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6106786,0.00009291759,0.00001682518,0.0001316877,0.0002510062,0.0001656374,0.00000485168,0.00005214382,0.3886063],"genre_scores_gemma":[0.9865562,0.0002116808,0.0004395183,0.0000146862,0.0002517936,6.406349e-7,0.000003206753,0.00001440887,0.0125079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6964797,"threshold_uncertainty_score":0.9993992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08320777494675724,"score_gpt":0.3455603727512755,"score_spread":0.2623525978045183,"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."}}