{"id":"W2762681433","doi":"10.1145/3130859.3131412","title":"How Multidisciplinary is Gamification Research?","year":2017,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Ontario Tech University","funders":"Arts and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Engineering and Physical Sciences Research Council; Mitacs; Movember Foundation","keywords":"Multidisciplinary approach; Field (mathematics); Discipline; Computer science; Engineering ethics; Tourism; Interdisciplinarity; Data science; Management science; Sociology; Social science; Political science; Engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005550905,0.00006697047,0.00006462318,0.0000842162,0.0006623938,0.0002847123,0.0004563753,0.00008342751,0.001605136],"category_scores_gemma":[0.0001516995,0.00005847066,0.00003799668,0.00005547071,0.0001974298,0.0002122646,0.00007159195,0.0001553269,0.001798132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003530891,"about_ca_system_score_gemma":0.0000309348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001824367,"about_ca_topic_score_gemma":0.0000226621,"domain_scores_codex":[0.9990592,0.00007532025,0.0001018208,0.0003189374,0.000221568,0.0002231356],"domain_scores_gemma":[0.9982005,0.00009709296,0.00009695273,0.001291104,0.0002421259,0.00007218731],"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":[0.00003730422,0.0004337383,0.03871658,0.00001147012,0.00003862021,0.000002639286,0.01011377,1.698638e-7,0.003209189,0.588388,0.2575248,0.1015237],"study_design_scores_gemma":[0.0001625104,0.00003236186,0.8284056,0.000005550026,0.000003236302,0.000002801911,0.004684672,0.00004828588,0.0004895473,0.007479185,0.1586052,0.00008112392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.335333,0.00025672,0.001192173,0.1751477,0.001313738,0.0004002957,0.00001231638,0.00007255438,0.4862714],"genre_scores_gemma":[0.7379414,0.00001619764,0.000652113,0.00008952281,0.0002996129,0.00007984696,0.00001519535,0.000009376712,0.2608967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.789689,"threshold_uncertainty_score":0.9993075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2185812805496087,"score_gpt":0.4865221488585445,"score_spread":0.2679408683089358,"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."}}