{"id":"W4288435628","doi":"10.1080/00405841.2022.2107808","title":"“Keep calm and earn more points”: What research says about token economy systems","year":2022,"lang":"en","type":"article","venue":"Theory Into Practice","topic":"Motivation and Self-Concept in Sports","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; University of Ottawa; Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Token economy; Scope (computer science); Security token; Position (finance); Public relations; Business; Marketing; Psychology; Economics; Political science; Computer science; Social psychology; Computer security","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00859913,0.0001638311,0.0002418717,0.0002158127,0.0006906798,0.0003021237,0.0003576406,0.0001088511,0.0137641],"category_scores_gemma":[0.0006382866,0.0001690472,0.00004439944,0.0002764133,0.0002696401,0.001103158,0.0002963018,0.001085081,0.0007119199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863233,"about_ca_system_score_gemma":0.00008481576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009051969,"about_ca_topic_score_gemma":0.000007887287,"domain_scores_codex":[0.9944114,0.003848366,0.000397883,0.0005272166,0.0003875322,0.0004276012],"domain_scores_gemma":[0.9954799,0.003178028,0.0002464938,0.0007057281,0.0002240808,0.000165762],"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":[0.001047932,0.0003488771,0.001457242,0.00005187557,0.0001987209,0.0002150318,0.1159595,0.00004979127,0.00002631429,0.8166066,0.03820819,0.02582987],"study_design_scores_gemma":[0.000455982,0.0001425286,0.0004180924,0.00001463906,0.0000237354,0.000258292,0.2519985,0.0000203483,0.000006690709,0.009937866,0.736564,0.0001592211],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2856712,0.007543324,0.0003976061,0.016718,0.003554769,0.001374664,0.00001530615,0.0002239482,0.6845012],"genre_scores_gemma":[0.9618359,0.0001714054,0.0001894885,0.005550054,0.0003673176,0.0004792757,0.00003437606,0.00005684402,0.03131533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8066688,"threshold_uncertainty_score":0.9871374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0463699655678234,"score_gpt":0.391658952228463,"score_spread":0.3452889866606396,"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."}}