{"id":"W2072320960","doi":"10.1145/2658537.2658687","title":"Engaged by boos and cheers","year":2014,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Typology; Relevance (law); Video game; Psychology; Target audience; Contrast (vision); Computer science; Multimedia; Advertising; Sociology; Political science","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":[],"category_scores_codex":[0.0002470537,0.00002953775,0.00003099871,0.00001140592,0.00004391567,0.000007844205,0.00002895034,0.00002644322,0.001317793],"category_scores_gemma":[0.00003993307,0.00002539096,0.000007342581,0.00002130951,0.00001903771,0.00001547976,0.000003387122,0.00007585398,0.0002287312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003293085,"about_ca_system_score_gemma":0.000002508253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004685276,"about_ca_topic_score_gemma":0.000002302341,"domain_scores_codex":[0.9996875,0.00008361836,0.00004842888,0.00009395893,0.00002902976,0.00005746237],"domain_scores_gemma":[0.9997325,0.0001196513,0.00001409667,0.00009293779,0.00001051191,0.00003032559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009401378,0.000107009,0.009563041,0.000004728503,0.00002250225,6.16897e-8,0.006437631,2.059638e-7,0.00388878,0.3852994,0.514741,0.07992621],"study_design_scores_gemma":[0.0002141029,0.00002973951,0.1660889,0.000001042511,0.000004512736,0.000001999467,0.002003422,0.0000315606,0.0002729544,0.001348247,0.8299368,0.00006665943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.673653,0.0002588257,0.001938132,0.005757813,0.000311917,0.00007575412,0.000001901244,0.00004103668,0.3179616],"genre_scores_gemma":[0.9474816,0.000004400239,0.0002406128,0.001078103,0.00005788737,0.00001225987,0.00001110661,0.00000367465,0.0511104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3839512,"threshold_uncertainty_score":0.9995952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975189545881773,"score_gpt":0.3035560315132464,"score_spread":0.2838041360544287,"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."}}